Ranking,User,Model,Results,Mean Reward,Std Reward 1,"ankandrew","a2c-PandaReachDense-v2",-0.3,-0.24,0.06 2,"marik0","tqc-PandaReachDense-v2",-0.31,-0.2,0.11 3,"dn-gh","TQC-PandaReachDense-v2",-0.32,-0.21,0.11 4,"zoltantensorfow","a2c-PandaReachDense-v2-d",-0.32,-0.23,0.09 5,"tommytran","a2c-PandaReachDense-v2",-0.33,-0.26,0.07 6,"Artachtron","a2c-PandaReachDense-v2",-0.33,-0.22,0.11 7,"eLarry","a2c-PandaReachDense-v2",-0.34,-0.2,0.14 8,"arbts","a2c-PandaReachDense-v2",-0.36,-0.24,0.12 9,"CoreyMorris","tqc-PandaReachDense-v2",-0.37,-0.27,0.1 10,"happycoding","sac-PandaReachDense-v2",-0.37,-0.29,0.08 11,"PeterDerLustige","a2c-PandaReachDense-v2-lr-0.0001",-0.39,-0.3,0.09 12,"sgoodfriend","a2c-PandaReachDense-v2",-0.4,-0.28,0.12 13,"armargolis","a2c-PandaReachDense-v2",-0.41000000000000003,-0.31,0.1 14,"jamesup","a2c-PandaReachDense-v2",-0.41000000000000003,-0.28,0.13 15,"gian-cr","a2c-PandaReachDense-v2",-0.41000000000000003,-0.28,0.13 16,"NikosKokkini","a2c-PandaReachDense-v2",-0.42000000000000004,-0.28,0.14 17,"eldraco","tqc-PandaReachDense-v2",-0.43,-0.24,0.19 18,"Michunie","a2c-PandaReachDense-v2",-0.44000000000000006,-0.34,0.1 19,"bobobert4","sac-PandaReachDense-v2",-0.44999999999999996,-0.35,0.1 20,"nikogarro","A2C-PandaReachDense-v2",-0.46,-0.32,0.14 21,"aidenlee","ppo-PandaReachDense-v2",-0.47,-0.36,0.11 22,"hoanglongvn","a2c-unit62-PandaReachDense-v2",-0.48,-0.38,0.1 23,"mark-e","a2c-PandaReachDense-v2",-0.48,-0.33,0.15 24,"ChechkovEugene","a2c-PandaReachDense-v2",-0.5,-0.39,0.11 25,"matolszew","a2c-PandaReachDense-v2",-0.5,-0.37,0.13 26,"irgallard","a2c-PandaReachDense-v2",-0.51,-0.37,0.14 27,"emmashe15","a2c-PandaReachDense-v2",-0.51,-0.39,0.12 28,"avoroshilov","a2c-PandaReachDense-v2",-0.52,-0.43,0.09 29,"matt-guay","a2c-PandaReachDense-v2-v2",-0.52,-0.41,0.11 30,"AngelUrq","a2c-PandaReachDense-v2",-0.52,-0.39,0.13 31,"Roberto","ppo-PandaReachDense-v2",-0.53,-0.38,0.15 32,"jinhu2659","a2c-PandaReachDense-v2",-0.53,-0.39,0.14 33,"FlavienDeseure","a2c-PandaReachDense-v2",-0.53,-0.42,0.11 34,"chqmatteo","a2c-PandaReachDense-v2",-0.53,-0.4,0.13 35,"justinsiow","a2c-PandaReachDense-v2",-0.53,-0.31,0.22 36,"alvarobb","a2c-PandaReachDense-v2",-0.54,-0.37,0.17 37,"ben-yu","a2c-PandaReachDense-v2-v2",-0.55,-0.38,0.17 38,"jwright94","a2c-PandaReachDense-v2",-0.56,-0.36,0.2 39,"claterza","a2c-PandaReachDense-v2-ant-hypers-v1",-0.56,-0.42,0.14 40,"eryzml","a2c-PandaReachDense-v2",-0.56,-0.38,0.18 41,"yumingyi","a2c-PandaReachDense-v2",-0.56,-0.38,0.18 42,"frangiral","a2c-PandaReachDense-v2-3",-0.5700000000000001,-0.45,0.12 43,"ghassenhannachi","a2c-PandaReachDense-v2",-0.5800000000000001,-0.45,0.13 44,"SatCat","a2c-PandaReachDense-v2",-0.59,-0.44,0.15 45,"enlacinglines","a2c-PandaReachDense-v2",-0.6000000000000001,-0.46,0.14 46,"serkanBurakOrs","a2c-PandaReachDense-v2",-0.61,-0.45,0.16 47,"DanGalt","a2c-PandaReachDense-v2",-0.62,-0.48,0.14 48,"NathanaelM","a2c-PandaReachDense-v2",-0.63,-0.49,0.14 49,"ScrappyCoco666","a2c-PandaReachDense-v2-4",-0.63,-0.47,0.16 50,"michal512","a2c-PandaReachDense-v2",-0.64,-0.53,0.11 51,"agercas","a2c-PandaReachDense-v2",-0.64,-0.44,0.2 52,"zyoscovits","a2c-PandaReachDense-v2",-0.6499999999999999,-0.47,0.18 53,"ckauth","a2c-PandaReachDense-v2",-0.6499999999999999,-0.57,0.08 54,"EduardoCGarridoMerchan","a2c-PandaReachDense-v2",-0.6499999999999999,-0.47,0.18 55,"Lakoc","a2c-PandaReachDense-v2",-0.65,-0.48,0.17 56,"dcduplooy","a2c-PandaReachDense-v2",-0.65,-0.49,0.16 57,"eolang","DRL-a2c-PandaReachDense-v2",-0.67,-0.51,0.16 58,"Bandika","a2c-PandaReachDense-v2",-0.6799999999999999,-0.5,0.18 59,"bguisard","a2c-PandaReachDense-v2",-0.7,-0.48,0.22 60,"Antiraedus","a2c-PandaReachDense-v2",-0.7,-0.48,0.22 61,"parsasam","a2c-PandaReachDense-v2",-0.7,-0.58,0.12 62,"ManishW","a2c-PandaReachDense-v2",-0.71,-0.48,0.23 63,"tmilushev","a2c-PandaReachDense-v2",-0.71,-0.52,0.19 64,"seungwoos","a2c-PandaReachDense-v2",-0.7100000000000001,-0.55,0.16 65,"MerlinTK","a2c-PandaReachDense-v2",-0.72,-0.48,0.24 66,"mxbonn","a2c-PandaReachDense-v2",-0.72,-0.53,0.19 67,"Arch4ngel","a2c-PandaReachDense-v2",-0.7300000000000001,-0.56,0.17 68,"niks-salodkar","a2c-PandaReachDense-v2",-0.74,-0.61,0.13 69,"kjmann","a2c-PandaReachDense-v2",-0.76,-0.6,0.16 70,"imar0","a2c-PandaReachDense-v2",-0.77,-0.57,0.2 71,"michalcisek5","a2c-PandaReachDense-v2",-0.77,-0.64,0.13 72,"aiartwork","a2c-PandaReachDense-v2",-0.77,-0.61,0.16 73,"mkahari","a2c-PandaReachDense-v2",-0.7799999999999999,-0.57,0.21 74,"heidragon3045","a2c-PandaReachDense-v2",-0.78,-0.66,0.12 75,"besa2001","a2c-PandaReachDense-v2",-0.78,-0.58,0.2 76,"gmojko","a2c-PandaReachDense-v2_v6",-0.78,-0.59,0.19 77,"dor88","a2c-PandaReachDense-v2",-0.7899999999999999,-0.58,0.21 78,"css919","a2c-PandaReachDense-v2",-0.79,-0.63,0.16 79,"jondister","a2c-PandaReachDense-v2",-0.79,-0.68,0.11 80,"jackoyoungblood","a2c-PandaReachDense-v2",-0.8,-0.62,0.18 81,"JaviBJ","a2c-PandaReachDense-v2",-0.81,-0.61,0.2 82,"andyleow","a2c-PandaReachDense-v2",-0.8300000000000001,-0.65,0.18 83,"juansebashr","a2c-PandaReachDense-v2",-0.8300000000000001,-0.67,0.16 84,"jrnold","a2c-PandaReachDense-v2",-0.84,-0.61,0.23 85,"JfuentesR","a2c-PandaReachDense-v2",-0.8400000000000001,-0.64,0.2 86,"AdonaiHS","a2c-PandaReachDense-v2",-0.85,-0.62,0.23 87,"threite","a2c-PandaReachDense-v2",-0.86,-0.63,0.23 88,"ElementBrawlerAI","tqc-PandaReachDense-v2",-0.8600000000000001,-0.68,0.18 89,"dhmeltzer","a2c-PandaReachDense-v2",-0.87,-0.74,0.13 90,"kenzo4433","a2c-PandaReachDense-v2",-0.87,-0.66,0.21 91,"dussinus","a2c-PandaReachDense-v2",-0.87,-0.7,0.17 92,"ThePianist","a2c-PandaReachDense-v2",-0.87,-0.72,0.15 93,"redfungus","a2c-PandaReachDense-v2",-0.87,-0.64,0.23 94,"mdapri","a2c-PandaReachDense-v2",-0.87,-0.72,0.15 95,"infatum","a2c-PandaReachDense-v2",-0.8799999999999999,-0.82,0.06 96,"iubeda","a2c-PandaReachDense-v2",-0.8899999999999999,-0.7,0.19 97,"akgeni","a2c-PandaReachDense-v2",-0.89,-0.68,0.21 98,"rossHuggingMay","a2c-PandaReachDense-v2",-0.8999999999999999,-0.7,0.2 99,"brand25","a2c-PandaReachDense-v2",-0.9,-0.62,0.28 100,"JamesEJarvis","a2c-PandaReachDense-v2",-0.91,-0.64,0.27 101,"lotek93","a2c-PandaReachDense-v2",-0.91,-0.68,0.23 102,"toastedshibe","a2c-PandaReachDense-v2",-0.92,-0.76,0.16 103,"cfalholt","A2C-PandaReachDense-v2",-0.93,-0.65,0.28 104,"Galiess","a2c-PandaReachDense-v2",-0.93,-0.65,0.28 105,"DJDonovan","a2c-PandaReachDense-v2",-0.94,-0.65,0.29 106,"c0ldstudy","a2c-PandaReachDense-v2",-0.94,-0.7,0.24 107,"mcaoun","a2c-PandaReachDense-v2",-0.9400000000000001,-0.68,0.26 108,"EvaOr","a2c-PandaReachDense-v2",-0.9400000000000001,-0.66,0.28 109,"0xid","a2c-PandaReachDense-v2",-0.95,-0.75,0.2 110,"ThoDum","a2c-PandaReachDense-v2",-0.96,-0.71,0.25 111,"M331","a2c-PandaReachDense-v2",-0.96,-0.74,0.22 112,"Mykolyt","a2c-PandaReachDense-v2",-0.96,-0.84,0.12 113,"sd99","a2c-PandaReachDense-v2",-0.9600000000000001,-0.8,0.16 114,"pinaggle","a2c-PandaReachDense-v2",-0.97,-0.71,0.26 115,"tayfen","a2c-PandaReachDense-v2",-0.97,-0.74,0.23 116,"Iamvincent","a2c-PandaReachDense-v2",-0.97,-0.82,0.15 117,"jcramirezpr","a2c-PandaReachDense-v2",-0.97,-0.64,0.33 118,"Ellipsoul","a2c-PandaReachDense-v2",-0.98,-0.71,0.27 119,"andylolu24","a2c-PandaReachDense-v2",-0.99,-0.8,0.19 120,"dbaibak","a2c-PandaReachDense-v2",-0.99,-0.67,0.32 121,"kuanyk","a2c-PandaReachDense-v2",-1.0,-0.75,0.25 122,"Larxel","a2c-PandaReachDense-v2",-1.0,-0.73,0.27 123,"marimurta","a2c-PandaReachDense-v2",-1.0,-0.71,0.29 124,"andrea-silvi","a2c-PandaReachDense-v2",-1.0,-0.74,0.26 125,"asuzuki","a2c-PandaReachDense-v2",-1.01,-0.74,0.27 126,"toinsson","a2c-PandaReachDense-v2",-1.01,-0.69,0.32 127,"manuelmaiorano","a2c-PandaReachDense-v2",-1.02,-0.76,0.26 128,"yangwj2011","a2c-PandaReachDense-v2",-1.03,-0.83,0.2 129,"Lakshya2k","a2c-PandaReachDense-v2",-1.03,-0.78,0.25 130,"inkasaras","a2c-PandaReachDense-v2",-1.03,-0.74,0.29 131,"jason1i","a2c-PandaReachDense-v2",-1.03,-0.72,0.31 132,"LukeSajkowski","a2c-PandaReachDense-v2",-1.04,-0.81,0.23 133,"bsenst","a2c-PandaReachDense-v2",-1.04,-0.76,0.28 134,"xiazeng","a2c-PandaReachDense-v2",-1.04,-0.76,0.28 135,"habanoz","a2c-PandaReachDense-v2",-1.05,-0.8,0.25 136,"rdesarz","a2c-PandaReachDense-v2",-1.05,-0.78,0.27 137,"G-e-o-r-g-e","a2c-PandaReachDense-v2",-1.06,-0.83,0.23 138,"jinukoo","a2c-PandaReachDense-v2",-1.06,-0.91,0.15 139,"CloXD","a2c-PandaReachDense-v2",-1.06,-0.75,0.31 140,"rodri2023","a2c-PandaReachDense-v2",-1.06,-0.88,0.18 141,"SuburbanLion","a2c-PandaReachDense-v2",-1.07,-0.76,0.31 142,"khatkeashish","a2c-PandaReachDense-v2",-1.08,-0.81,0.27 143,"oscarb92","a2c-PandaReachDense-v2",-1.08,-0.66,0.42 144,"phonenix","a2c-PandaReachDense-v2",-1.08,-0.89,0.19 145,"aj555","a2c-PandaReachDense-v2",-1.09,-0.78,0.31 146,"FBM","a2c-PandaReachDense-v2",-1.09,-0.87,0.22 147,"jgalego","a2c-PandaReachDense-v2",-1.09,-0.78,0.31 148,"aymenkhs","a2c-PandaReachDense-v2",-1.1,-0.99,0.11 149,"smartbotfactory","a2c-PandaReachDense-v2",-1.1,-0.83,0.27 150,"stevaras2","a2c-PandaReachDense-v2",-1.12,-0.8,0.32 151,"msgerasyov","a2c-PandaReachDense-v2",-1.12,-0.79,0.33 152,"VAZaytsev","a2c-PandaReachDense-v2",-1.12,-0.88,0.24 153,"massimowww","a2c-PandaReachDense-v2",-1.12,-0.77,0.35 154,"helpingstar","a2c-PandaReachDense-v2",-1.13,-0.76,0.37 155,"Christian90","a2c-PandaReachDense-v2",-1.13,-0.78,0.35 156,"grinsepilz","a2c-PandaReachDense-v2",-1.1300000000000001,-0.81,0.32 157,"matthh","a2c-PandaReachDense-v2",-1.1400000000000001,-0.86,0.28 158,"MerveOzer","a2c-PandaReachDense-v2",-1.1600000000000001,-1.04,0.12 159,"marianokamp","a2c-PandaReachDense-v2",-1.17,-0.94,0.23 160,"bnowak1831","a2c-PandaReachDense-v2",-1.17,-0.82,0.35 161,"MarcusAGray","a2c-PandaReachDense-v2",-1.17,-1.04,0.13 162,"rishipatel92","a2c-PandaReachDense-v2",-1.18,-0.89,0.29 163,"EdenYav","a2c-PandaReachDense-v2",-1.18,-0.88,0.3 164,"andge","a2c-PandaReachDense-v2",-1.18,-0.89,0.29 165,"ahmad-alismail","a2c-PandaReachDense-v2",-1.19,-0.99,0.2 166,"odahl","a2c-PandaReachDense-v2",-1.2,-1.13,0.07 167,"Convolution","a2c-PandaReachDense-v2",-1.21,-0.86,0.35 168,"saikiranp","a2c-PandaReachDense-v2",-1.21,-0.96,0.25 169,"noodlynoodle","a2c-PandaReachDense-v2",-1.22,-0.94,0.28 170,"YoanG","a2c-PandaReachDense-v2",-1.22,-0.98,0.24 171,"arrandi","a2c-PandaReachDense-v2",-1.23,-0.94,0.29 172,"PakanunNoa","a2c-PandaReachDense-v2",-1.23,-0.76,0.47 173,"pyflynn","a2c-PandaReachDense-v2",-1.23,-0.93,0.3 174,"pittawat","a2c-PandaReachDense-v2-v3",-1.2400000000000002,-1.12,0.12 175,"dfm794","a2c-PandaReachDense-v2",-1.25,-1.0,0.25 176,"javiervela","a2c-PandaReachDense-v2",-1.25,-1.07,0.18 177,"mobiusmatt","a2c-PandaReachDense-v2",-1.26,-0.92,0.34 178,"cthiriet","a2c-PandaReachDense-v2",-1.26,-1.15,0.11 179,"harikc456","a2c-PandaReachDense-v2",-1.27,-0.81,0.46 180,"cleth","a2c-PandaReachDense-v2",-1.29,-0.95,0.34 181,"splusminusx","a2c-PandaReachDense-v2",-1.31,-0.93,0.38 182,"dasaprakashk","a2c-PandaReachDense-v2",-1.32,-0.87,0.45 183,"kingabzpro","a2c-PandaReachDense-v2",-1.3399999999999999,-0.96,0.38 184,"Nasree","a2c-PandaReachDense-v2",-1.35,-0.89,0.46 185,"droid22","a2c-PandaReachDense-v2",-1.3599999999999999,-1.0,0.36 186,"gauthamk28","a2c-PandaReachDense-v2",-1.37,-1.07,0.3 187,"ammr","a2c-PandaReachDense-v2",-1.37,-1.09,0.28 188,"ajitgupta","a2c-PandaReachDense-v2",-1.38,-1.26,0.12 189,"RajMoodley","a2c-PandaReachDense-v2z",-1.38,-1.19,0.19 190,"ShreyasM","a2c-PandaReachDense-v2",-1.38,-0.97,0.41 191,"andrei-saceleanu","a2c-PandaReachDense-v2",-1.3800000000000001,-1.04,0.34 192,"haanjack","a2c-PandaReachDense-v2",-1.4,-0.99,0.41 193,"harisumant","a2c-PandaReachDense-v2",-1.41,-1.13,0.28 194,"Taratata","a2c-PandaReachDense-v2",-1.4100000000000001,-1.27,0.14 195,"Ransaka","a2c-PandaReachDense-v2",-1.42,-1.21,0.21 196,"tvarella","a2c-PandaReachDense-v2",-1.42,-1.06,0.36 197,"giggling-squid","a2c-PandaReachDense-v2",-1.4300000000000002,-1.04,0.39 198,"stelladk","A2C-MLAgents-PandaReachDense-v2",-1.44,-1.08,0.36 199,"avojarot","a2c-PandaReachDense-v2",-1.45,-1.28,0.17 200,"propet","a2c-PandaReachDense-v2",-1.4500000000000002,-1.32,0.13 201,"YoriV","a2c-PandaReachDense-v2",-1.46,-1.15,0.31 202,"osman93","a2c-PandaReachDense-v2",-1.47,-1.05,0.42 203,"mtlulka","a2c-PandaReachDense-v2",-1.48,-1.13,0.35 204,"dmenini","a2c-PandaReachDense-v2",-1.48,-0.96,0.52 205,"Hourai","a2c-PandaReachDense-v2",-1.48,-1.15,0.33 206,"apparition","a2c-PandaReachDense-v2",-1.49,-1.07,0.42 207,"arenbeglaryan","a2c-PandaReachDense-v2",-1.49,-1.27,0.22 208,"juanmi1234","a2c-PandaReachDense-v2",-1.49,-1.16,0.33 209,"bobobert4","a2c-PandaReachDense-v2",-1.5,-1.37,0.13 210,"matt-guay","a2c-PandaReachDense-v2-v1",-1.5,-1.37,0.13 211,"Brain22","a2c-PandaReachDense-v2",-1.5,-1.15,0.35 212,"jamesimmanuel","a2c-PandaReachDense-v2",-1.5,-1.26,0.24 213,"vtisza","a2c-PandaReachDense-v2",-1.51,-1.3,0.21 214,"osanseviero","a2c-PandaReachDense-v2",-1.52,-1.37,0.15 215,"arb9p4","a2c-PandaReachDense-v2",-1.52,-1.33,0.19 216,"glitchyordis","a2c-PandaReachDense-v2",-1.53,-1.25,0.28 217,"jannikskytt","a2c-PandaReachDense-v2",-1.54,-1.21,0.33 218,"SarvasvaK","a2c-PandaReachDense-v2",-1.54,-1.07,0.47 219,"kaliputra","a2c-PandaReachDense-v2",-1.5499999999999998,-1.17,0.38 220,"pabloac31","a2c-PandaReachDense-v2",-1.55,-1.09,0.46 221,"Kittitouch","a2c-PandaReachDense-v2",-1.55,-1.33,0.22 222,"Amiko","a2c-PandaReachDense-v2",-1.56,-1.29,0.27 223,"Nazzyk","a2c-PandaReachDense-v2",-1.57,-1.08,0.49 224,"hasarinduperera","a2c-PandaReachDense-v2",-1.58,-1.08,0.5 225,"qxakshat","a2c-PandaReachDense-v2",-1.58,-1.29,0.29 226,"kikijiki","a2c-PandaReachDense-v2",-1.6,-1.1,0.5 227,"adam1brownell","u6-PandaReachDense-v2",-1.6,-1.27,0.33 228,"britojr","a2c-PandaReachDense-v2",-1.6,-1.37,0.23 229,"chenoi","deepRL6-2-PandaReachDense-v2",-1.6,-1.35,0.25 230,"Ryukijano","a2c-PandaReachDense-v2",-1.6099999999999999,-1.42,0.19 231,"Apocalypse-19","a2c-RobotArm",-1.61,-1.07,0.54 232,"mktz","a2c-PandaReachDense-v2-1",-1.61,-1.08,0.53 233,"Nelsonlin0321","a2c-PandaReachDense-v2",-1.63,-1.24,0.39 234,"Lorius2","a2c-PandaReachDense-v2",-1.63,-1.16,0.47 235,"SRobbins","a2c-PandaReachDense-v2",-1.64,-1.18,0.46 236,"plegg","a2c-PandaReachDense-v2",-1.64,-1.4,0.24 237,"Rowehn","a2c-PandaReachDense-v2",-1.6400000000000001,-1.11,0.53 238,"sayby","a2c-PandaReachDense-v2",-1.6400000000000001,-1.34,0.3 239,"Junfeng","a2c-PandaReachDense-v2",-1.6700000000000002,-1.36,0.31 240,"ibadrehman","new-a2c-PandaReachDense-v2",-1.68,-1.2,0.48 241,"taohoang","a2c-PandaReachDense-v2",-1.69,-1.42,0.27 242,"Feldi","a2c-PandaReachDense-v2",-1.7,-1.19,0.51 243,"gaarsmu","a2c-PandaReachDense-v2",-1.7,-1.49,0.21 244,"jrauch4","a2c-PandaReachDense-v2",-1.71,-1.52,0.19 245,"MichalJ","a2c-PandaReachDense-v2",-1.7100000000000002,-1.37,0.34 246,"zap-thamm","A2C-PandaReachDense-v2",-1.72,-1.52,0.2 247,"yovchev","a2c-PandaReachDense-v2",-1.72,-1.19,0.53 248,"keshan","a2c-PandaReachDense-v2",-1.73,-1.37,0.36 249,"codeSpaghetti","a2c-PandaReachDense-v2",-1.73,-1.52,0.21 250,"Art-phys","a2c-PandaReachDense-v2",-1.74,-1.26,0.48 251,"mlewand","a2c-PandaReachDense-v2",-1.76,-1.57,0.19 252,"kurohige","a2c-PandaReachDense-v2",-1.77,-1.51,0.26 253,"mojoee","a2c-PandaReachDense-v2",-1.77,-1.37,0.4 254,"menoua","a2c-PandaReachDense-v2",-1.7799999999999998,-1.39,0.39 255,"fbeghell","a2c-PandaReachDense-v2",-1.78,-1.5,0.28 256,"MakiPan","a2c-PandaReachDense-v2",-1.78,-1.52,0.26 257,"kinkpunk","a2c-PandaReachDense-v2",-1.79,-1.65,0.14 258,"chavicoski","a2c-PandaReachDense-v2",-1.79,-1.55,0.24 259,"taoist","a2c-PandaReachDense-v2",-1.79,-1.37,0.42 260,"sryu1","a2c-PandaReachDense-v2",-1.79,-1.52,0.27 261,"nikgeo","a2c-PandaReachDense-v2",-1.8099999999999998,-1.4,0.41 262,"eyechen","tqc-PandaReachDense-v2",-1.82,-1.51,0.31 263,"cyeet","a2c-PandaReachDense-v2",-1.83,-1.25,0.58 264,"ljones","a2c-PandaReachDense-v2",-1.83,-1.53,0.3 265,"Waterboy96","a2c-PandaReachDense-v2",-1.8399999999999999,-1.49,0.35 266,"alberto-mate","a2c-PandaReachDense-v2",-1.8399999999999999,-1.45,0.39 267,"mnavas","hf-rl-a2c-PandaReachDense-v2",-1.8499999999999999,-1.41,0.44 268,"SAL83","a2c-PandaReachDense-v2",-1.85,-1.25,0.6 269,"yyq90","a2c-PandaReachDense-v2",-1.8599999999999999,-1.72,0.14 270,"lnros","a2c-PandaReachDense-v2",-1.8699999999999999,-1.18,0.69 271,"Qilex","a2c-PandaReachDense-v2",-1.8699999999999999,-1.41,0.46 272,"SebastianS","a2c-PandaReachDense-v2",-1.87,-1.37,0.5 273,"PabloTa","a2c-PandaReachDense-v2",-1.87,-1.73,0.14 274,"rootacess","a2c-PandaReachDense-v2",-1.87,-1.47,0.4 275,"Senura","a2c-PandaReachDense-v2",-1.88,-1.39,0.49 276,"Ganu3010","a2c-PandaReachDense-v2",-1.88,-1.43,0.45 277,"Schwarzschild009","a2c-PandaReachDense-v2",-1.89,-1.44,0.45 278,"dotunadegbite","a2c-PandaReachDense-v2",-1.8900000000000001,-1.24,0.65 279,"Deisler","a2c-PandaReachDense-v2",-1.8900000000000001,-1.33,0.56 280,"dvesely","a2c-PandaReachDense-v2",-1.9,-1.54,0.36 281,"Agog","a2c-PandaReachDense-v2",-1.91,-1.72,0.19 282,"morganjeffries","a2c-PandaReachDense-v2",-1.92,-1.46,0.46 283,"MohammedEltoum","a2c-PandaReachDense-v2",-1.92,-1.43,0.49 284,"yizhangliu","a2c-PandaReachDense-v2",-1.9200000000000002,-1.62,0.3 285,"EExe","a2c-PandaReachDense-v2",-1.93,-1.48,0.45 286,"J3","a2c-PandaReachDense-v2",-1.93,-1.78,0.15 287,"SpookyWooky5","a2c-PandaReachDense-v2",-1.93,-1.49,0.44 288,"kmposkid1","a2c-PandaReachDense-v2",-1.9300000000000002,-1.53,0.4 289,"butchland","round3-a2c-PandaReachDense-v2",-1.94,-1.73,0.21 290,"daripaez","a2c-PandaReachDense-v2",-1.94,-1.78,0.16 291,"Absie","a2c-PandaReachDense-v2",-1.94,-1.65,0.29 292,"Jupiterian9","a2c-PandaReachDense-v2",-1.95,-1.75,0.2 293,"OliP","a2c-PandaReachDense-v2",-1.95,-1.77,0.18 294,"Akriel","a2c-PandaReachDense-v2",-1.98,-1.35,0.63 295,"JUNGU","a2c-PandaReachDense-v2",-1.98,-1.49,0.49 296,"Gabcsor","a2c-PandaReachDense-v2",-1.98,-1.78,0.2 297,"Your-Cheese","a2c-PandaReachDense-v2",-1.98,-1.75,0.23 298,"nidek","a2c-PandaReachDense-v2",-1.9900000000000002,-1.35,0.64 299,"numan966","a2c-PandaReachDense-v2",-2.01,-1.72,0.29 300,"Porridge9243","a2c-PandaReachDense-v2",-2.0100000000000002,-1.55,0.46 301,"Shivraj8615","2nd_a2c-PandaReachDense-v2",-2.02,-1.68,0.34 302,"pregonas","a2c-PandaReachDense-v2",-2.02,-1.77,0.25 303,"ManarAli","a2c-PandaReachDense-v2",-2.02,-1.64,0.38 304,"jackhhhh","a2c-PandaReachDense-v2",-2.02,-1.37,0.65 305,"MrDivakaruni","a2c-PandaReachDense-v2",-2.02,-1.49,0.53 306,"misza222","a2c-PandaReachDense-v2",-2.0300000000000002,-1.56,0.47 307,"mgarciav","a2c-PandaReachDense-v2",-2.06,-1.69,0.37 308,"giobin","a2c-PandaReachDense-v2",-2.0700000000000003,-1.55,0.52 309,"nhiro3303","a2c-PandaReachDense-v2",-2.08,-1.43,0.65 310,"Jackmin108","a2c-PandaReachDense-v2",-2.09,-1.59,0.5 311,"RegisGraptin","a2c-PandaReachDense-v2",-2.09,-1.76,0.33 312,"robotman0","a2c-PandaReachDense-v2",-2.09,-1.41,0.68 313,"mertyazan","a2c-PandaReachDense-v2",-2.11,-1.52,0.59 314,"ashishj20","a2c-PandaReachDense-v2",-2.12,-1.56,0.56 315,"iblub","a2c-PandaReachDense-v2",-2.12,-1.75,0.37 316,"pete88b","a2c-PandaReachDense-v2",-2.13,-1.83,0.3 317,"sanak","a2c-PandaReachDense-v2",-2.13,-1.62,0.51 318,"Viswes","a2c-PandaReachDense-v2",-2.13,-1.83,0.3 319,"Yanrds","a2c-PandaReachDense-v2",-2.14,-1.91,0.23 320,"Behnam","a2c-PandaReachDense-v2",-2.14,-1.75,0.39 321,"chenmertens","a2c-PandaReachDense-v2",-2.15,-1.7,0.45 322,"Yelinz","a2c-PandaReachDense-v2",-2.15,-1.54,0.61 323,"janzw","a2c-PandaReachDense-v2",-2.16,-1.68,0.48 324,"raminass","a2c-PandaReachDense-v2",-2.17,-1.63,0.54 325,"Hawk91","a2c-PandaReachDense-v2",-2.17,-1.48,0.69 326,"emmuzoo","a2c-PandaReachDense-v2",-2.2,-1.69,0.51 327,"NielsV","a2c-PandaReachDense-v2",-2.2199999999999998,-1.68,0.54 328,"mikegarts","a2c-PandaReachDense-v2",-2.23,-1.52,0.71 329,"rahul-t-p","a2c-PandaReachDense-v2",-2.23,-1.72,0.51 330,"amoselberg","a2c-PandaReachDense-v2",-2.23,-1.76,0.47 331,"robinsk8a","a2c-PandaReachDense-v2",-2.2399999999999998,-1.92,0.32 332,"cmenasse","a2c-PandaReachDense-v2",-2.24,-1.78,0.46 333,"Frorozcol","a2c-PandaReachDense-v2",-2.27,-1.51,0.76 334,"dylwil3","a2c-PandaReachDense-v2",-2.27,-1.8,0.47 335,"parinzee","a2c-PandaReachDense-v2",-2.27,-1.64,0.63 336,"Clawoo","a2c-PandaReachDense-v2",-2.28,-1.94,0.34 337,"Isaacgv","a2c-PandaReachDense-v2",-2.28,-1.69,0.59 338,"bkhan2000","a2c-PandaReachDense-v2",-2.29,-1.53,0.76 339,"mahmoud-mohey","a2c-PandaReachDense-v2",-2.29,-1.91,0.38 340,"McCheng","a2c-PandaReachDense-v2",-2.3,-1.96,0.34 341,"Stokrotka","a2c-PandaReachDense-v2",-2.32,-1.95,0.37 342,"timtaotao","a2c-PandaReachDense-v2",-2.3200000000000003,-1.84,0.48 343,"jayeshvpatil","a2c-PandaReachDense-v2",-2.34,-1.63,0.71 344,"chandc","a2c-PandaReachDense-v2",-2.35,-1.67,0.68 345,"Nishant91","a2c-PandaReachDense-v2",-2.36,-2.03,0.33 346,"bonadio","a2c-PandaReachDense-v2",-2.3600000000000003,-2.08,0.28 347,"lipee","a2c-PandaReachDense-v2",-2.38,-2.06,0.32 348,"tenich","a2c-PandaReachDense-v2",-2.38,-1.9,0.48 349,"Kentris","a2c-PandaReachDense-v2",-2.38,-1.57,0.81 350,"Periramm","a2c-PandaReachDense-v2",-2.41,-1.81,0.6 351,"KubiakJakub01","a2c-PandaReachDense-v2",-2.41,-2.08,0.33 352,"AntiSquid","a2c-PandaReachDense-v2",-2.41,-1.82,0.59 353,"ecemisildar","a2c-PandaReachDense-v2",-2.42,-1.95,0.47 354,"alexdavey","a2c-PandaReachDense-v2",-2.44,-2.01,0.43 355,"Brhnglc","a2c-PandaReachDense-v2",-2.45,-1.86,0.59 356,"erniechiew","a2c-PandaReachDense-v2",-2.45,-2.18,0.27 357,"sofiapecora","a2c-PandaReachDense-v2",-2.45,-1.8,0.65 358,"caioiglesias","a2c-PandaReachDense-v2",-2.45,-2.0,0.45 359,"asubiabre","a2c-PandaReachDense-v2",-2.46,-2.15,0.31 360,"OleksiiVNTU","a2c-PandaReachDense-v2",-2.48,-1.79,0.69 361,"mili7522","a2c-PandaReachDense-v2",-2.48,-1.84,0.64 362,"antoooooine","a2c-PandaReachDense-v2",-2.48,-1.75,0.73 363,"sohm","a2c-PandaReachDense-v2-v3",-2.48,-1.61,0.87 364,"sleepytaco","a2c-PandaReachDense-v2",-2.4899999999999998,-2.09,0.4 365,"LucianoDeben","a2c-PandaReachDense-v2",-2.49,-1.85,0.64 366,"Hatman","a2c-PandaReachDense-v2",-2.49,-1.99,0.5 367,"fermaat","a2c-PandaReachDense-v2",-2.51,-1.73,0.78 368,"D0k-tor","a2c-PandaReachDense-v2",-2.53,-2.11,0.42 369,"ArneL2206","a2c-PandaReachDense-v2",-2.54,-2.17,0.37 370,"peterdamn","a2c-PandaReachDense-v2",-2.56,-2.0,0.56 371,"AgentXXX","a2c-PandaReachDense-v2",-2.56,-1.85,0.71 372,"newwater","a2c-PandaReachDense-v2",-2.57,-1.9,0.67 373,"Raiden-1001","a2c-PandaReachDense-v2",-2.58,-2.14,0.44 374,"israel-avihail","a2c-PandaReachDense-v2",-2.59,-1.76,0.83 375,"dyingc","a2c-PandaReachDense-v2",-2.59,-1.8,0.79 376,"khaled5321","a2c-PandaReachDense-v2",-2.6,-1.99,0.61 377,"DoctorRobotnik","a2c-PandaReachDense-v2",-2.6,-2.24,0.36 378,"Developer-Karthi","a2c-PandaReachDense-v2",-2.62,-2.21,0.41 379,"Alex48","a2c-PandaReachDense-v2",-2.64,-2.02,0.62 380,"bitcloud2","a2c-PandaReachDense-v2",-2.64,-2.31,0.33 381,"av3006","a2c-PandaReachDense-v2",-2.65,-2.02,0.63 382,"anthonyx","a2c-PandaReachDense-v2",-2.6500000000000004,-1.86,0.79 383,"Musha-the-Yusha","a2c-PandaReachDense-v2",-2.66,-2.33,0.33 384,"gokuls","a2c-PandaReachDense-v2",-2.66,-1.87,0.79 385,"NoNameFound","a2c-PandaReachDense-v2",-2.66,-2.13,0.53 386,"stinoco","a2c-PandaReachDense-v2",-2.67,-2.36,0.31 387,"Emperor","a2c-PandaReachDense-v2",-2.67,-1.97,0.7 388,"pastells","a2c-PandaReachDense-v2",-2.68,-2.04,0.64 389,"charmquark","a2c-PandaReachDense-v2",-2.71,-2.47,0.24 390,"ndhieunguyen","a2c-PandaReachDense-v2",-2.7199999999999998,-2.25,0.47 391,"emylrahim","a2c-PandaReachDense-v2",-2.7199999999999998,-2.0,0.72 392,"jpopham91","a2c-PandaReachDense-v2",-2.7299999999999995,-2.26,0.47 393,"haidlir","PandaReachDense-v2-A2C",-2.73,-2.39,0.34 394,"Galeros","a2c-PandaReachDense-v2",-2.73,-2.12,0.61 395,"gmojko","a2c-PandaReachDense-v2_v5",-2.7399999999999998,-1.88,0.86 396,"agcagc","a2c-PandaReachDense-v2",-2.74,-2.23,0.51 397,"OlgaVityuk","a2c-PandaReachDense-v2",-2.75,-2.17,0.58 398,"Beegbrain","a2c-PandaReachDense-v2",-2.75,-2.23,0.52 399,"sliu","a2c-PandaReachDense-v2-v1",-2.75,-1.85,0.9 400,"eswat","a2c-PandaReachDense-v2",-2.77,-2.18,0.59 401,"pneubauer","basic-a2c-PandaReachDense-v2",-2.7800000000000002,-2.14,0.64 402,"DaniilSirota","a2c-PandaReachDense-v2",-2.7800000000000002,-2.12,0.66 403,"vldnechai","a2c-PandaReachDense-v2",-2.79,-2.43,0.36 404,"newbie4000","a2c-PandaReachDense-v2",-2.8,-2.04,0.76 405,"rebolforces","a2c-PandaReachDense-v2g",-2.8099999999999996,-2.03,0.78 406,"MetaAnomie","a2c-PandaReachDense-v2",-2.81,-2.31,0.5 407,"albertcalin","a2c-PandaReachDense-v2",-2.8200000000000003,-2.35,0.47 408,"paicup09","a2c-PandaReachDense-v2",-2.8200000000000003,-2.37,0.45 409,"Kurokabe","a2c-PandaReachDense-v2",-2.8200000000000003,-2.56,0.26 410,"globophobe","a2c-PandaReachDense-v2",-2.8299999999999996,-2.26,0.57 411,"Dharkelf","a2c-PandaReachDense-v2",-2.83,-2.19,0.64 412,"Aitor","a2c-PandaReachDense-v2",-2.8400000000000003,-2.16,0.68 413,"hectorjelly","a2ca-PandaReachDense-v2",-2.85,-2.27,0.58 414,"scronberg","a2c-PandaReachDense-v2",-2.87,-2.36,0.51 415,"naeisher","a2c-PandaReachDense-v2",-2.87,-2.37,0.5 416,"angelinux","a2c-PandaReachDense-v2B",-2.88,-2.38,0.5 417,"Suprabound","a2c-PandaReachDense-v2",-2.91,-2.64,0.27 418,"hmatzner","a2c-PandaReachDense-v2",-2.91,-2.6,0.31 419,"DiegoD616","a2c-PandaReachDense-v2",-2.91,-2.42,0.49 420,"lunared473","a2c-PandaReachDense-v2",-2.91,-2.4,0.51 421,"dimi1357","a2c-PandaReachDense-v2",-2.93,-2.1,0.83 422,"rebolforces","a2c-PandaReachDense-v2f",-2.94,-2.23,0.71 423,"Nyxynyx","a2c-PandaReachDense-v2",-2.94,-2.33,0.61 424,"atorre","a2c-PandaReachDense-v2",-2.94,-2.61,0.33 425,"smko77","a2c-PandaReachDense-v2",-2.94,-2.0,0.94 426,"eoulster","a2c-PandaReachDense-v2",-2.94,-2.17,0.77 427,"BoschAI","a2c-PandaReachDense-v2",-2.9499999999999997,-2.07,0.88 428,"hussamalafandi","a2c-PandaReachDense-v2",-2.96,-2.52,0.44 429,"akoshel","a2c-PandaReachDense-v2",-2.97,-2.1,0.87 430,"gelas","a2c-PandaReachDense-v2",-2.97,-2.04,0.93 431,"csd7","a2c-PandaReachDense-v2",-2.98,-2.31,0.67 432,"dungtd2403","a2c-PandaReachDense-v2",-2.98,-2.54,0.44 433,"gnieto","a2c-PandaReachDense-v2",-2.9899999999999998,-2.17,0.82 434,"chradden","a2c-PandaReachDense-v2",-3.0,-2.51,0.49 435,"gstaff","a2c-PandaReachDense-v2",-3.0100000000000002,-2.37,0.64 436,"MarkieMark1","a2c-PandaReachDense-v2",-3.0100000000000002,-2.47,0.54 437,"CreativeEvolution","a2c-PandaReachDense-v2",-3.02,-2.13,0.89 438,"ThomasDH","a2c-PandaReachDense-v2",-3.02,-2.1,0.92 439,"keyblade95","a2c-PandaReachDense-v2",-3.03,-2.57,0.46 440,"jxiao","a2c-PandaReachDense-v2",-3.03,-2.44,0.59 441,"utyug1","a2c-PandaReachDense-v2",-3.0300000000000002,-2.79,0.24 442,"jimfordlafleur","a2c-PandaReachDense-v2",-3.0300000000000002,-2.31,0.72 443,"JulianZas","a2c-PandaReachDense-v2",-3.0300000000000002,-2.1,0.93 444,"ldaquan1996","a2c-PandaReachDense-v2",-3.04,-2.45,0.59 445,"stucksam","a2c-PandaReachDense-v2",-3.04,-2.06,0.98 446,"GrimReaperSam","a2c-PandaReachDense-v2",-3.04,-2.13,0.91 447,"Mithul","a2c-PandaReachDense-v2",-3.04,-2.34,0.7 448,"pruvostmichael","a2c-PandaReachDense-v2",-3.05,-2.29,0.76 449,"sergey-antonov","a2c-PandaReachDense-v2",-3.05,-2.58,0.47 450,"zzen0008","a2c-PandaReachDense-v2",-3.06,-2.2,0.86 451,"kambehmw","a2c-PandaReachDense-v2",-3.06,-2.46,0.6 452,"sheryliza","a2c-PandaReachDense-v2",-3.06,-1.95,1.11 453,"nakanolab","a2c-PandaReachDense-v2-trial-2",-3.08,-2.1,0.98 454,"Augcos","a2c-PandaReachDense-v2",-3.0999999999999996,-2.59,0.51 455,"Addwater","a2c-PandaReachDense-v2",-3.11,-2.59,0.52 456,"lsaulier","a2c-PandaReachDense-v2",-3.11,-2.79,0.32 457,"brahamdp","a2c-PandaReachDense-v2",-3.12,-2.43,0.69 458,"mikato","a2c-PandaReachDense-v2",-3.12,-2.41,0.71 459,"jjlira","a2c-PandaReachDense-v2",-3.12,-2.04,1.08 460,"peter1133","a2c-PandaReachDense-v2",-3.13,-2.57,0.56 461,"cfisicaro","a2c-PandaReachDense-v2",-3.13,-2.71,0.42 462,"zlicastro","zl-a2c-PandaReachDense-v2",-3.1300000000000003,-2.47,0.66 463,"slopezay","a2c-PandaReachDense-v2",-3.1399999999999997,-2.38,0.76 464,"Cesar514","a2c-PandaReachDense-v2",-3.16,-2.15,1.01 465,"Luca77","a2c-PandaReachDense-v2",-3.17,-2.47,0.7 466,"jinghua2tang","a2c-PandaReachDense-v2",-3.17,-2.69,0.48 467,"Fer14","a2c-PandaReachDense-v2",-3.17,-2.47,0.7 468,"carolinainmymind","a2c-PandaReachDense-v2",-3.1799999999999997,-2.63,0.55 469,"JessicaHsu","a2c-PandaReachDense-v2",-3.19,-2.44,0.75 470,"feratur","a2c-PandaReachDense-v2",-3.1900000000000004,-2.39,0.8 471,"mshibatatt","a2c-PandaReachDense-v2",-3.21,-2.51,0.7 472,"Issacwong","a2c-PandaReachDense-v2",-3.22,-2.37,0.85 473,"Bill010602","a2c-PandaReachDense-v2",-3.23,-2.33,0.9 474,"Rolo","a2c-PandaReachDense-v2",-3.23,-2.58,0.65 475,"PeterDerLustige","a2c-PandaReachDense-v2",-3.2300000000000004,-2.43,0.8 476,"varevshatyan","a2c-PandaReachDense-v2",-3.2399999999999998,-2.57,0.67 477,"tvnguyen","a2c-PandaReachDense-v2",-3.24,-2.0,1.24 478,"maidh","a2c-PandaReachDense-v2",-3.25,-2.38,0.87 479,"alkiskoudounas","a2c-PandaReachDense-v2",-3.26,-2.15,1.11 480,"JYC333","a2c-PandaReachDense-v2",-3.26,-2.86,0.4 481,"andli28","a2c-PandaReachDense-v2",-3.26,-2.52,0.74 482,"Maulik-P","a2c-PandaReachDense-v2",-3.26,-2.57,0.69 483,"RamonAnkersmit","a2c-PandaReachDense-v2",-3.2600000000000002,-2.33,0.93 484,"carro","a2c-PandaReachDense-v2",-3.27,-2.95,0.32 485,"akghxhs55","a2c-PandaReachDense-v2",-3.27,-2.23,1.04 486,"z4x","a2c-PandaReachDense-v2",-3.27,-2.75,0.52 487,"kelestemur","a2c-PandaReachDense-v2",-3.28,-2.65,0.63 488,"TahsinZaman","a2c-PandaReachDense-v2",-3.28,-2.61,0.67 489,"FranEnguix","a2c-PandaReachDense-v2",-3.3,-2.56,0.74 490,"adhisetiawan","a2c-PandaReachDense-v2",-3.3000000000000003,-2.89,0.41 491,"reachrkr","a2c-PandaReachDense-v2",-3.3000000000000003,-2.66,0.64 492,"dineshresearch","a2c-PandaReachDense-v2",-3.3000000000000003,-2.66,0.64 493,"sliu","a2c-PandaReachDense-v2",-3.3000000000000003,-2.87,0.43 494,"ThomasSimonini","a2c-PandaReachDense-v2",-3.3099999999999996,-2.32,0.99 495,"npit","a2c-PandaReachDense-v2",-3.31,-2.75,0.56 496,"messham","a2c-PandaReachDense-v2",-3.31,-2.35,0.96 497,"artbreguez","a2c-PandaReachDense-v2",-3.32,-2.65,0.67 498,"eugene-d","a2c-PandaReachDense-v2",-3.33,-2.54,0.79 499,"GillesEverling","a2c-PandaReachDense-v2",-3.3400000000000003,-2.72,0.62 500,"Harm","a2c-PandaReachDense-v2",-3.3499999999999996,-2.86,0.49 501,"albertqueralto","a2c-PandaReachDense-v2",-3.35,-2.27,1.08 502,"kostasang","a2c-PandaReachDense-v2",-3.35,-2.77,0.58 503,"SergejSchweizer","a2c-PandaReachDense-v2",-3.36,-2.78,0.58 504,"LuniLand","a2c-PandaReachDense-v2",-3.36,-2.63,0.73 505,"chist","a2c-PandaReachDense-v2",-3.3600000000000003,-2.62,0.74 506,"Segamboam","a2c-PandaReachDense-v2",-3.3699999999999997,-2.55,0.82 507,"UtopiansRareTruth","a2c-PandaReachDense-v2",-3.37,-2.67,0.7 508,"vvn0","a2c-PandaReachDense-v2",-3.37,-2.7,0.67 509,"Isaacp","a2c-PandaReachDense-v2",-3.37,-2.73,0.64 510,"MHaurel","a2c-PandaReachDense-v2",-3.3800000000000003,-2.45,0.93 511,"eduiqe","a2c-PandaReachDense-v2",-3.3899999999999997,-2.92,0.47 512,"iammartian0","a2c_v3-PandaReachDense-v2",-3.3899999999999997,-2.59,0.8 513,"Max100ce","a2c-PandaReachDense-v2",-3.4,-2.21,1.19 514,"duongkstn","a2c-PandaReachDense-v2",-3.4,-2.83,0.57 515,"feabries","a2c-PandaReachDense-v2",-3.4000000000000004,-2.72,0.68 516,"vovikdrg","a2c-PandaReachDense-v2",-3.4099999999999997,-2.55,0.86 517,"ZhihongDeng","a2c-PandaReachDense-v2",-3.41,-2.68,0.73 518,"MarshallPF","a2c-PandaReachDense-v2",-3.41,-2.46,0.95 519,"Paperbag","a2c-PandaReachDense-v2",-3.41,-2.77,0.64 520,"osbm","a2c-PandaReachDense-v2",-3.42,-2.44,0.98 521,"mingdinghan","a2c-PandaReachDense-v2",-3.4299999999999997,-2.29,1.14 522,"angelinux","a2c-PandaReachDense-v2",-3.43,-2.68,0.75 523,"TRiddle","a2c-PandaReachDense-v2",-3.44,-2.76,0.68 524,"pomp","a2c-PandaReachDense-v2",-3.44,-2.65,0.79 525,"Liapunov","a2c-PandaReachDense-v2",-3.4400000000000004,-2.7,0.74 526,"Victarry","a2c-PandaReachDense-v2",-3.4400000000000004,-2.89,0.55 527,"msthil","a2c-PandaReachDense-v2",-3.4400000000000004,-2.74,0.7 528,"Jbot","a2c-PandaReachDense-v2",-3.4499999999999997,-2.59,0.86 529,"wooihen","a2c-PandaReachDense-v2",-3.45,-2.75,0.7 530,"KoRiF","a2c-PandaReachDense-v2",-3.46,-2.42,1.04 531,"Yureeh","a2c-PandaReachDense-v2",-3.4699999999999998,-2.98,0.49 532,"golightly","a2c-PandaReachDense-v2",-3.47,-2.39,1.08 533,"BachNgoH","a2c-PandaReachDense-v2",-3.47,-2.72,0.75 534,"zipbomb","a2c-PandaReachDense-v2",-3.47,-2.91,0.56 535,"danilyef","a2c-PandaReachDense-v2",-3.49,-2.44,1.05 536,"Unterwexi","a2c-PandaReachDense-v2",-3.5,-2.72,0.78 537,"Nnarruqt","a2c-PandaReachDense-v2",-3.5,-2.78,0.72 538,"staycoolish","a2c-PandaReachDense-v2",-3.52,-2.56,0.96 539,"ArtYac","a2c-PandaReachDense-v2",-3.5200000000000005,-2.45,1.07 540,"sampathlonka","a2c-PandaReachDense-v2",-3.5300000000000002,-2.97,0.56 541,"claterza","a2c-PandaReachDense-v2",-3.54,-2.97,0.57 542,"Leonhard17","a2c-PandaReachDense-v2",-3.54,-3.19,0.35 543,"abarekatain","a2c-PandaReachDense-v2",-3.55,-2.76,0.79 544,"frangiral","a2c-PandaReachDense-v2",-3.5599999999999996,-2.32,1.24 545,"dn-gh","a2c-PandaReachDense-v2",-3.59,-2.53,1.06 546,"Sirianth","a2c-PandaReachDense-v2",-3.59,-2.71,0.88 547,"jgalego","a2c-PandaReachDense-v2-test",-3.7,-2.98,0.72 548,"arnonl","a2c-PandaReachDense-v2",-3.7,-2.77,0.93 549,"orenk","a2c-PandaReachDense-v2",-3.71,-2.79,0.92 550,"odiaz1066","a2c-PandaReachDense-v2",-3.75,-2.93,0.82 551,"sonny-dev","a2c-PandaReachDense-v2",-3.79,-3.17,0.62 552,"ScrappyCoco666","a2c-PandaReachDense-v2",-3.88,-3.42,0.46 553,"mjschock","a2c-PandaReachDense-v2",-3.89,-3.43,0.46 554,"LeoAgis","a2c-PandaReachDense-v2",-3.92,-3.17,0.75 555,"hendoo","a2c-PandaReachDense-v2",-3.92,-2.78,1.14 556,"pittawat","a2c-PandaReachDense-v2",-3.96,-2.53,1.43 557,"ChenWu98","a2c-PandaReachDense-v2",-3.96,-2.92,1.04 558,"MarcosMunoz95","a2c-PandaReachDense-v2",-3.96,-2.96,1.0 559,"RajMoodley","a2c-PandaReachDense-v22",-3.9699999999999998,-2.84,1.13 560,"LozanoJohan","a2c-PandaReachDense-v2",-4.01,-3.0,1.01 561,"ScrappyCoco666","a2c-PandaReachDense-v2-3",-4.06,-2.88,1.18 562,"GGunjan","a2c-PandaReachDense-v2",-4.08,-3.33,0.75 563,"hectorjelly","a2c-PandaReachDense-v2",-4.1,-3.19,0.91 564,"jovisaib","a2c-PandaReachDense-v2",-4.109999999999999,-3.11,1.0 565,"iammartian0","a2c_try3-PandaReachDense-v2",-4.18,-3.37,0.81 566,"nakanolab","a2c-PandaReachDense-v2",-4.2,-3.02,1.18 567,"iammartian0","a2c-PandaReachDense-v2",-4.27,-2.83,1.44 568,"akanametov","a2c-PandaReachDense-v2",-4.28,-2.77,1.51 569,"imflash217","a2c-PandaReachDense-v2",-4.31,-3.28,1.03 570,"env-test","a2c-PandaReachDense-v2",-4.34,-3.47,0.87 571,"dededivad","a2c-PandaReachDense-v2",-4.5,-3.65,0.85 572,"Agneev","a2c-PandaReachDense-v2",-4.529999999999999,-3.51,1.02 573,"RajMoodley","a2c-PandaReachDense-v2",-4.5600000000000005,-3.48,1.08 574,"rebolforces","a2c-PandaReachDense-v2",-4.68,-3.54,1.14 575,"proleetops","a2c-PandaReachDense-v2",-4.7,-2.97,1.73 576,"dzegan","a2c-PandaReachDense-v2",-4.73,-3.98,0.75 577,"Dewa","rl-a2c-PandaReachDense-v2",-4.82,-3.8,1.02 578,"pryjuli","a2c-PandaReachDense-v2",-5.01,-3.85,1.16 579,"sohm","a2c-PandaReachDense-v2",-5.02,-3.48,1.54 580,"meganstodel","a2c-PandaReachDense-v2",-5.03,-3.97,1.06 581,"ElementBrawlerAI","a2c-PandaReachDense-v2",-5.05,-4.09,0.96 582,"vjkrish","a2c-PandaReachDense-v2",-5.06,-4.6,0.46 583,"johnhudzinatr","a2c-PandaReachDense-v2",-5.12,-4.42,0.7 584,"Amiko","a2c-a2c-PandaReachDense",-5.13,-3.66,1.47 585,"jmurphy97","a2c-PandaReachDense-v2",-5.17,-4.12,1.05 586,"gaokaobishuati","a2c-PandaReachDense-v2",-5.18,-4.13,1.05 587,"CoreyMorris","a2c-PandaReachDense-v2",-5.2700000000000005,-4.24,1.03 588,"FrancoisDongier","a2c-PandaReachDense-v2",-5.28,-4.65,0.63 589,"Shivraj8615","a2c-PandaReachDense-v2",-5.32,-3.73,1.59 590,"IPlayZed","a2c-PandaReachDense-v2",-5.390000000000001,-4.53,0.86 591,"gatardochi","a2c-PandaReachDense-v2",-5.42,-4.04,1.38 592,"iammartian0","a2c_try2-PandaReachDense-v2",-5.49,-4.72,0.77 593,"pittawat","a2c-PandaReachDense-v2-2",-5.55,-4.17,1.38 594,"FabioDataGeek","a2c-PandaReachDense-v2",-5.67,-5.05,0.62 595,"mktz","a2c-PandaReachDense-v2",-5.859999999999999,-3.75,2.11 596,"eldraco","a2c-PandaReachDense-v2-v2",-5.87,-4.94,0.93 597,"thiagoms7","a2c-PandaReachDense-v2",-5.88,-4.62,1.26 598,"gmojko","a2c-PandaReachDense-v2",-5.8999999999999995,-4.68,1.22 599,"aidenlee","a2c-PandaReachDense-v2",-5.94,-4.53,1.41 600,"Patil","a2c-PandaReachDense-v2",-6.0,-4.59,1.41 601,"Nake","a2c-PandaReachDense-v2",-6.08,-4.77,1.31 602,"beebeckzzz","a2c-PandaReachDense-v2",-6.369999999999999,-5.02,1.35 603,"eldraco","a2c-PandaReachDense-v2",-6.4,-4.13,2.27 604,"OMARS200","a2c-PandaReachDense-v2",-6.51,-5.32,1.19 605,"zbenmo","a2c-PandaReachDense-v2",-6.71,-5.34,1.37 606,"botix4","a2c-PandaReachDense-v2",-6.76,-4.92,1.84 607,"rematchka","a2c-PandaReachDense-v2",-6.779999999999999,-5.22,1.56 608,"gmojko","a2c-PandaReachDense-v2_v2",-6.82,-4.96,1.86 609,"gmojko","a2c-PandaReachDense-v2_v4",-6.96,-5.78,1.18 610,"FelipePasquevich","a2c-PandaReachDense-v2",-7.07,-5.3,1.77 611,"klashenrik","a2c-PandaReachDense-v2",-7.3100000000000005,-5.7,1.61 612,"ben-yu","a2c-PandaReachDense-v2",-7.37,-4.92,2.45 613,"jaesun","a2c-PandaReachDense-v2",-7.55,-6.26,1.29 614,"Niraya666","a2c-PandaReachDense-v2",-7.779999999999999,-5.21,2.57 615,"Tanchik","a2c-PandaReachDense-v2",-7.8100000000000005,-6.78,1.03 616,"keyin77","a2c-PandaReachDense-v2",-7.8100000000000005,-6.11,1.7 617,"ScrappyCoco666","a2c-PandaReachDense-v2-2",-8.469999999999999,-6.47,2.0 618,"Roberto","a2c-PandaReachDense-v2",-8.67,-7.02,1.65 619,"xaeroq","a2c-PandaReachDense-v2",-8.7,-7.02,1.68 620,"butchland","round2-a2c-PandaReachDense-v2",-9.370000000000001,-8.47,0.9 621,"ibadrehman","a2c-PandaReachDense-v2",-9.48,-7.02,2.46 622,"vitorhgomes","a2c-PandaReachDense-v2",-9.66,-5.06,4.6 623,"Luisfrdz","a2c-PandaReachDense-v2",-10.25,-9.33,0.92 624,"emmanuel17","a2c-PandaReachDense-v2",-10.4,-7.01,3.39 625,"sohm","a2c-PandaReachDense-v2-v2",-10.760000000000002,-6.65,4.11 626,"jaybeeja","a2c-PandaReachDense-v2",-11.79,-10.03,1.76 627,"DragonProgrammer","a2c-PandaReachDense-v2",-12.190000000000001,-10.38,1.81 628,"happycoding","a2c-PandaReachDense-v2",-12.379999999999999,-9.93,2.45 629,"Dharkelf","a2c-PandaReachDense-v2_2",-14.67,-9.66,5.01 630,"ThomasSimonini","tpc-PandaReachDense-v2",-15.040000000000001,-11.89,3.15 631,"gmojko","a2c-PandaReachDense-v2_v3",-16.07,-10.06,6.01 632,"DrishtiSharma","a2c-PandaReachDense-v2",-20.64,-15.79,4.85 633,"butchland","a2c-PandaReachDense-v2",-21.509999999999998,-18.4,3.11 634,"marik0","a2c-PandaReachDense-v2",-22.7,-18.49,4.21 635,"Honza","a2c-PandaReachDense-v2",-24.28,-16.03,8.25 636,"nachshonc","a2c-PandaReachDense-v2",-29.439999999999998,-21.97,7.47