Megalino111 commited on
Commit
5a6e6ad
1 Parent(s): a532816

First Push

Browse files
SnowballTarget.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:edd5f361d5bbd37bb099f7e614e9a7ec70d7dc920e61dfb63c32f2543d1f4925
3
  size 650646
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05bf3762986b1e9858edbc935f0d852f205a293a047075e6199b64618edeeae3
3
  size 650646
SnowballTarget/SnowballTarget-149984.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9e28fc1f98db763a4169910290fe65c39939b07c8d7f783ff354fff3a5a856f8
3
  size 650646
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42f35d7a0a0261150b54a9838de3a8e9303ec7e8a8cce3ee1e0ef95375b41ca3
3
  size 650646
SnowballTarget/SnowballTarget-149984.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:48fb54bbbb5f58e62bba2e55380f0b42a0ecc61a7fb89a10c10c708d6187b1b8
3
  size 3850075
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15c12e32b1f1e7134360397317e33779321e52fb35464d655fd0ebdf8587e671
3
  size 3850075
SnowballTarget/SnowballTarget-199984.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:edd5f361d5bbd37bb099f7e614e9a7ec70d7dc920e61dfb63c32f2543d1f4925
3
  size 650646
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05bf3762986b1e9858edbc935f0d852f205a293a047075e6199b64618edeeae3
3
  size 650646
SnowballTarget/SnowballTarget-199984.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:505bbb16883c38686abdb550bb1970c1137f29fda0e5294ce371935e2fa19ae8
3
  size 3850075
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:421521131e42928c145d7c47c7eb8f1322d2f44eea24be3d3bf43b2cb495b11d
3
  size 3850075
SnowballTarget/SnowballTarget-200112.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:edd5f361d5bbd37bb099f7e614e9a7ec70d7dc920e61dfb63c32f2543d1f4925
3
  size 650646
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05bf3762986b1e9858edbc935f0d852f205a293a047075e6199b64618edeeae3
3
  size 650646
SnowballTarget/SnowballTarget-200112.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:505d87c20f83cfc922fd602557ecc26ad4a65f138a79098521fc6fcbfaf107e1
3
  size 3850075
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ee86b1ac05ba5fd790eab0aaba3b733fe4cd892506610f118c8677105cc8b05
3
  size 3850075
SnowballTarget/SnowballTarget-49936.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:23d113fc89637c89df6d80f8e14ad7eea8b215f3cf40be4edf28a44fd872adda
3
  size 650646
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c3652bbe11604b46af0ee95123c85e68c98825b227fe3d12bf3c93998452780
3
  size 650646
SnowballTarget/SnowballTarget-49936.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5fd4391fba82796d9af54a2e88c661dfc0329eccbbb44e15bba28fca88e8c380
3
  size 3850000
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15a3a7419d8fcfb64fc0bd2f64223b029ee80f2011cbdaac45bd63fad6cf91b8
3
  size 3850000
SnowballTarget/SnowballTarget-99960.onnx CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7a26a753cc06199e20c14ddda7d04d2ea238e5d413f9dccc310fa34b0b23b829
3
  size 650646
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:11e2e9092f44bedc0741d3239d84ac5a5336d825755efc003055c49dbbdcbd3c
3
  size 650646
SnowballTarget/SnowballTarget-99960.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a8144536eb72accee8fba92cae26ec2fb5be002dd100ab070f45d64d5adeb42c
3
  size 3850000
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67179bb7838aacc11447c25b446344f2f6633a3b41e6dd9b8d45fec60f78be84
3
  size 3850000
SnowballTarget/checkpoint.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4c727b59a97ca2379f809d12fb5a1d2906789d8dceb211cd981f844883cc8855
3
  size 3849250
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da99862bc584774070785c0b4bb11861b7c1853e21112a9f84777d42d777c0ec
3
  size 3849250
SnowballTarget/events.out.tfevents.1711814671.9606770bb8c5.10039.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7b3bc492a0d7cd5ce9717814f3910fcf7d096f66e4b376afedd37026e337ac1
3
+ size 23588
config.json CHANGED
@@ -1 +1 @@
1
- {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 10, "even_checkpoints": false, "max_steps": 200000, "time_horizon": 64, "summary_freq": 10000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget_1", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
 
1
+ {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 4, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 10, "even_checkpoints": false, "max_steps": 200000, "time_horizon": 64, "summary_freq": 10000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget_2", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml CHANGED
@@ -9,7 +9,7 @@ behaviors:
9
  beta: 0.005
10
  epsilon: 0.2
11
  lambd: 0.95
12
- num_epoch: 3
13
  shared_critic: false
14
  learning_rate_schedule: linear
15
  beta_schedule: linear
@@ -66,7 +66,7 @@ engine_settings:
66
  no_graphics_monitor: false
67
  environment_parameters: null
68
  checkpoint_settings:
69
- run_id: SnowballTarget_1
70
  initialize_from: null
71
  load_model: false
72
  resume: false
 
9
  beta: 0.005
10
  epsilon: 0.2
11
  lambd: 0.95
12
+ num_epoch: 4
13
  shared_critic: false
14
  learning_rate_schedule: linear
15
  beta_schedule: linear
 
66
  no_graphics_monitor: false
67
  environment_parameters: null
68
  checkpoint_settings:
69
+ run_id: SnowballTarget_2
70
  initialize_from: null
71
  load_model: false
72
  resume: false
run_logs/Player-0.log CHANGED
@@ -2,9 +2,6 @@ Mono path[0] = '/content/ml-agents/training-envs-executables/linux/SnowballTarge
2
  Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
3
  Preloaded 'lib_burst_generated.so'
4
  Preloaded 'libgrpc_csharp_ext.x64.so'
5
- PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face
6
- PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face/SnowballTarget
7
- Unable to load player prefs
8
  Initialize engine version: 2021.3.14f1 (eee1884e7226)
9
  [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
10
  Forcing GfxDevice: Null
@@ -34,7 +31,7 @@ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
34
  FMOD failed to initialize the output device.: "Error initializing output device. " (60)
35
  FMOD initialized on nosound output
36
  Begin MonoManager ReloadAssembly
37
- - Completed reload, in 0.088 seconds
38
  ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
39
  ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
40
  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
@@ -45,7 +42,7 @@ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/f
45
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
46
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
47
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
48
- UnloadTime: 0.667501 ms
49
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
50
  requesting resize 84 x 84
51
  Setting up 1 worker threads for Enlighten.
@@ -169,7 +166,7 @@ Memory Statistics:
169
  Peak Allocated Bytes 0 B
170
  Overflow Count 0
171
  [ALLOC_DEFAULT] Dual Thread Allocator
172
- Peak main deferred allocation count 38
173
  [ALLOC_BUCKET]
174
  Large Block size 4.0 MB
175
  Used Block count 1
@@ -178,13 +175,13 @@ Memory Statistics:
178
  Peak usage frame count: [4.0 MB-8.0 MB]: 5460 frames
179
  Requested Block Size 16.0 MB
180
  Peak Block count 1
181
- Peak Allocated memory 7.0 MB
182
  Peak Large allocation bytes 0 B
183
  [ALLOC_DEFAULT_THREAD]
184
  Peak usage frame count: [16.0 MB-32.0 MB]: 5460 frames
185
  Requested Block Size 16.0 MB
186
  Peak Block count 1
187
- Peak Allocated memory 17.4 MB
188
  Peak Large allocation bytes 16.0 MB
189
  [ALLOC_TEMP_JOB_1_FRAME]
190
  Initial Block Size 2.0 MB
@@ -213,10 +210,10 @@ Memory Statistics:
213
  Used Block count 1
214
  Peak Allocated bytes 1.0 MB
215
  [ALLOC_GFX_MAIN]
216
- Peak usage frame count: [32.0 KB-64.0 KB]: 4742 frames, [64.0 KB-128.0 KB]: 718 frames
217
  Requested Block Size 16.0 MB
218
  Peak Block count 1
219
- Peak Allocated memory 66.4 KB
220
  Peak Large allocation bytes 0 B
221
  [ALLOC_GFX_THREAD]
222
  Peak usage frame count: [32.0 KB-64.0 KB]: 5460 frames
 
2
  Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
3
  Preloaded 'lib_burst_generated.so'
4
  Preloaded 'libgrpc_csharp_ext.x64.so'
 
 
 
5
  Initialize engine version: 2021.3.14f1 (eee1884e7226)
6
  [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
7
  Forcing GfxDevice: Null
 
31
  FMOD failed to initialize the output device.: "Error initializing output device. " (60)
32
  FMOD initialized on nosound output
33
  Begin MonoManager ReloadAssembly
34
+ - Completed reload, in 0.084 seconds
35
  ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
36
  ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
37
  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
 
42
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
43
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
44
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
45
+ UnloadTime: 0.741512 ms
46
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
47
  requesting resize 84 x 84
48
  Setting up 1 worker threads for Enlighten.
 
166
  Peak Allocated Bytes 0 B
167
  Overflow Count 0
168
  [ALLOC_DEFAULT] Dual Thread Allocator
169
+ Peak main deferred allocation count 41
170
  [ALLOC_BUCKET]
171
  Large Block size 4.0 MB
172
  Used Block count 1
 
175
  Peak usage frame count: [4.0 MB-8.0 MB]: 5460 frames
176
  Requested Block Size 16.0 MB
177
  Peak Block count 1
178
+ Peak Allocated memory 6.7 MB
179
  Peak Large allocation bytes 0 B
180
  [ALLOC_DEFAULT_THREAD]
181
  Peak usage frame count: [16.0 MB-32.0 MB]: 5460 frames
182
  Requested Block Size 16.0 MB
183
  Peak Block count 1
184
+ Peak Allocated memory 17.8 MB
185
  Peak Large allocation bytes 16.0 MB
186
  [ALLOC_TEMP_JOB_1_FRAME]
187
  Initial Block Size 2.0 MB
 
210
  Used Block count 1
211
  Peak Allocated bytes 1.0 MB
212
  [ALLOC_GFX_MAIN]
213
+ Peak usage frame count: [32.0 KB-64.0 KB]: 4797 frames, [64.0 KB-128.0 KB]: 663 frames
214
  Requested Block Size 16.0 MB
215
  Peak Block count 1
216
+ Peak Allocated memory 66.8 KB
217
  Peak Large allocation bytes 0 B
218
  [ALLOC_GFX_THREAD]
219
  Peak usage frame count: [32.0 KB-64.0 KB]: 5460 frames
run_logs/timers.json CHANGED
@@ -2,15 +2,15 @@
2
  "name": "root",
3
  "gauges": {
4
  "SnowballTarget.Policy.Entropy.mean": {
5
- "value": 0.9567068219184875,
6
- "min": 0.9567068219184875,
7
- "max": 2.852590322494507,
8
  "count": 20
9
  },
10
  "SnowballTarget.Policy.Entropy.sum": {
11
- "value": 9134.63671875,
12
- "min": 9134.63671875,
13
- "max": 29213.376953125,
14
  "count": 20
15
  },
16
  "SnowballTarget.Step.mean": {
@@ -26,15 +26,15 @@
26
  "count": 20
27
  },
28
  "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
29
- "value": 12.80202865600586,
30
- "min": 0.3374572694301605,
31
- "max": 12.80202865600586,
32
  "count": 20
33
  },
34
  "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
- "value": 2496.3955078125,
36
- "min": 65.46671295166016,
37
- "max": 2594.75927734375,
38
  "count": 20
39
  },
40
  "SnowballTarget.Environment.EpisodeLength.mean": {
@@ -50,87 +50,87 @@
50
  "count": 20
51
  },
52
  "SnowballTarget.Losses.PolicyLoss.mean": {
53
- "value": 0.07643159101551682,
54
- "min": 0.06420564808050747,
55
- "max": 0.07643159101551682,
56
  "count": 20
57
  },
58
  "SnowballTarget.Losses.PolicyLoss.sum": {
59
- "value": 0.30572636406206727,
60
- "min": 0.26307252615016274,
61
- "max": 0.369977058580273,
62
  "count": 20
63
  },
64
  "SnowballTarget.Losses.ValueLoss.mean": {
65
- "value": 0.19654907717132103,
66
- "min": 0.12440401481866252,
67
- "max": 0.30611378410283263,
68
  "count": 20
69
  },
70
  "SnowballTarget.Losses.ValueLoss.sum": {
71
- "value": 0.7861963086852841,
72
- "min": 0.4976160592746501,
73
- "max": 1.530568920514163,
74
  "count": 20
75
  },
76
  "SnowballTarget.Policy.LearningRate.mean": {
77
- "value": 8.082097306000005e-06,
78
- "min": 8.082097306000005e-06,
79
  "max": 0.000291882002706,
80
  "count": 20
81
  },
82
  "SnowballTarget.Policy.LearningRate.sum": {
83
- "value": 3.232838922400002e-05,
84
- "min": 3.232838922400002e-05,
85
- "max": 0.00138516003828,
86
  "count": 20
87
  },
88
  "SnowballTarget.Policy.Epsilon.mean": {
89
  "value": 0.10269400000000001,
90
  "min": 0.10269400000000001,
91
- "max": 0.19729400000000002,
92
  "count": 20
93
  },
94
  "SnowballTarget.Policy.Epsilon.sum": {
95
  "value": 0.41077600000000003,
96
  "min": 0.41077600000000003,
97
- "max": 0.96172,
98
  "count": 20
99
  },
100
  "SnowballTarget.Policy.Beta.mean": {
101
  "value": 0.0001444306000000001,
102
  "min": 0.0001444306000000001,
103
- "max": 0.0048649706,
104
  "count": 20
105
  },
106
  "SnowballTarget.Policy.Beta.sum": {
107
  "value": 0.0005777224000000004,
108
  "min": 0.0005777224000000004,
109
- "max": 0.023089828,
110
  "count": 20
111
  },
112
  "SnowballTarget.Environment.CumulativeReward.mean": {
113
- "value": 25.204545454545453,
114
- "min": 3.5681818181818183,
115
- "max": 25.363636363636363,
116
  "count": 20
117
  },
118
  "SnowballTarget.Environment.CumulativeReward.sum": {
119
- "value": 1109.0,
120
- "min": 157.0,
121
- "max": 1395.0,
122
  "count": 20
123
  },
124
  "SnowballTarget.Policy.ExtrinsicReward.mean": {
125
- "value": 25.204545454545453,
126
- "min": 3.5681818181818183,
127
- "max": 25.363636363636363,
128
  "count": 20
129
  },
130
  "SnowballTarget.Policy.ExtrinsicReward.sum": {
131
- "value": 1109.0,
132
- "min": 157.0,
133
- "max": 1395.0,
134
  "count": 20
135
  },
136
  "SnowballTarget.IsTraining.mean": {
@@ -148,67 +148,67 @@
148
  },
149
  "metadata": {
150
  "timer_format_version": "0.1.0",
151
- "start_time_seconds": "1711813491",
152
  "python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]",
153
- "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget_1 --no-graphics",
154
  "mlagents_version": "1.1.0.dev0",
155
  "mlagents_envs_version": "1.1.0.dev0",
156
  "communication_protocol_version": "1.5.0",
157
  "pytorch_version": "2.2.1+cu121",
158
  "numpy_version": "1.23.5",
159
- "end_time_seconds": "1711813978"
160
  },
161
- "total": 486.79996269599997,
162
  "count": 1,
163
- "self": 0.432276629999933,
164
  "children": {
165
  "run_training.setup": {
166
- "total": 0.05428952600004777,
167
  "count": 1,
168
- "self": 0.05428952600004777
169
  },
170
  "TrainerController.start_learning": {
171
- "total": 486.31339654,
172
  "count": 1,
173
- "self": 0.6012987409635571,
174
  "children": {
175
  "TrainerController._reset_env": {
176
- "total": 2.8597135789998447,
177
  "count": 1,
178
- "self": 2.8597135789998447
179
  },
180
  "TrainerController.advance": {
181
- "total": 482.7554564390366,
182
  "count": 18199,
183
- "self": 0.3110593270403115,
184
  "children": {
185
  "env_step": {
186
- "total": 482.4443971119963,
187
  "count": 18199,
188
- "self": 312.52565975996913,
189
  "children": {
190
  "SubprocessEnvManager._take_step": {
191
- "total": 169.60887636002326,
192
  "count": 18199,
193
- "self": 1.6190398749981796,
194
  "children": {
195
  "TorchPolicy.evaluate": {
196
- "total": 167.98983648502508,
197
  "count": 18199,
198
- "self": 167.98983648502508
199
  }
200
  }
201
  },
202
  "workers": {
203
- "total": 0.30986099200390527,
204
  "count": 18199,
205
  "self": 0.0,
206
  "children": {
207
  "worker_root": {
208
- "total": 484.9942482109825,
209
  "count": 18199,
210
  "is_parallel": true,
211
- "self": 241.87021718698747,
212
  "children": {
213
  "run_training.setup": {
214
  "total": 0.0,
@@ -217,48 +217,48 @@
217
  "self": 0.0,
218
  "children": {
219
  "steps_from_proto": {
220
- "total": 0.00596287400003348,
221
  "count": 1,
222
  "is_parallel": true,
223
- "self": 0.0041948640000555315,
224
  "children": {
225
  "_process_rank_one_or_two_observation": {
226
- "total": 0.0017680099999779486,
227
  "count": 10,
228
  "is_parallel": true,
229
- "self": 0.0017680099999779486
230
  }
231
  }
232
  },
233
  "UnityEnvironment.step": {
234
- "total": 0.04504425499999343,
235
  "count": 1,
236
  "is_parallel": true,
237
- "self": 0.0007148140002755099,
238
  "children": {
239
  "UnityEnvironment._generate_step_input": {
240
- "total": 0.00044029199989381596,
241
  "count": 1,
242
  "is_parallel": true,
243
- "self": 0.00044029199989381596
244
  },
245
  "communicator.exchange": {
246
- "total": 0.04167633499992007,
247
  "count": 1,
248
  "is_parallel": true,
249
- "self": 0.04167633499992007
250
  },
251
  "steps_from_proto": {
252
- "total": 0.0022128139999040286,
253
  "count": 1,
254
  "is_parallel": true,
255
- "self": 0.00044376799996825866,
256
  "children": {
257
  "_process_rank_one_or_two_observation": {
258
- "total": 0.00176904599993577,
259
  "count": 10,
260
  "is_parallel": true,
261
- "self": 0.00176904599993577
262
  }
263
  }
264
  }
@@ -267,34 +267,34 @@
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
- "total": 243.12403102399503,
271
  "count": 18198,
272
  "is_parallel": true,
273
- "self": 10.93895692802812,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
- "total": 5.978166876970818,
277
  "count": 18198,
278
  "is_parallel": true,
279
- "self": 5.978166876970818
280
  },
281
  "communicator.exchange": {
282
- "total": 188.79059470600055,
283
  "count": 18198,
284
  "is_parallel": true,
285
- "self": 188.79059470600055
286
  },
287
  "steps_from_proto": {
288
- "total": 37.416312512995546,
289
  "count": 18198,
290
  "is_parallel": true,
291
- "self": 7.034112623965939,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
- "total": 30.382199889029607,
295
  "count": 181980,
296
  "is_parallel": true,
297
- "self": 30.382199889029607
298
  }
299
  }
300
  }
@@ -309,9 +309,9 @@
309
  }
310
  },
311
  "trainer_threads": {
312
- "total": 0.00013931200010119937,
313
  "count": 1,
314
- "self": 0.00013931200010119937,
315
  "children": {
316
  "thread_root": {
317
  "total": 0.0,
@@ -320,36 +320,36 @@
320
  "self": 0.0,
321
  "children": {
322
  "trainer_advance": {
323
- "total": 476.51047671214747,
324
- "count": 716808,
325
  "is_parallel": true,
326
- "self": 15.676240153193248,
327
  "children": {
328
  "process_trajectory": {
329
- "total": 263.2987403209552,
330
- "count": 716808,
331
  "is_parallel": true,
332
- "self": 262.5565500639548,
333
  "children": {
334
  "RLTrainer._checkpoint": {
335
- "total": 0.7421902570004022,
336
  "count": 4,
337
  "is_parallel": true,
338
- "self": 0.7421902570004022
339
  }
340
  }
341
  },
342
  "_update_policy": {
343
- "total": 197.53549623799904,
344
  "count": 90,
345
  "is_parallel": true,
346
- "self": 56.79567180400795,
347
  "children": {
348
  "TorchPPOOptimizer.update": {
349
- "total": 140.7398244339911,
350
- "count": 4584,
351
  "is_parallel": true,
352
- "self": 140.7398244339911
353
  }
354
  }
355
  }
@@ -360,14 +360,14 @@
360
  }
361
  },
362
  "TrainerController._save_models": {
363
- "total": 0.09678846899987548,
364
  "count": 1,
365
- "self": 0.0009136709998074366,
366
  "children": {
367
  "RLTrainer._checkpoint": {
368
- "total": 0.09587479800006804,
369
  "count": 1,
370
- "self": 0.09587479800006804
371
  }
372
  }
373
  }
 
2
  "name": "root",
3
  "gauges": {
4
  "SnowballTarget.Policy.Entropy.mean": {
5
+ "value": 0.7965793013572693,
6
+ "min": 0.7965793013572693,
7
+ "max": 2.861267328262329,
8
  "count": 20
9
  },
10
  "SnowballTarget.Policy.Entropy.sum": {
11
+ "value": 7605.7392578125,
12
+ "min": 7605.7392578125,
13
+ "max": 29333.712890625,
14
  "count": 20
15
  },
16
  "SnowballTarget.Step.mean": {
 
26
  "count": 20
27
  },
28
  "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
29
+ "value": 13.157942771911621,
30
+ "min": 0.4909791052341461,
31
+ "max": 13.157942771911621,
32
  "count": 20
33
  },
34
  "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 2565.798828125,
36
+ "min": 95.24994659423828,
37
+ "max": 2652.36474609375,
38
  "count": 20
39
  },
40
  "SnowballTarget.Environment.EpisodeLength.mean": {
 
50
  "count": 20
51
  },
52
  "SnowballTarget.Losses.PolicyLoss.mean": {
53
+ "value": 0.07365348233254147,
54
+ "min": 0.062463727970252333,
55
+ "max": 0.07365348233254147,
56
  "count": 20
57
  },
58
  "SnowballTarget.Losses.PolicyLoss.sum": {
59
+ "value": 0.2946139293301659,
60
+ "min": 0.24985491188100933,
61
+ "max": 0.35580952290740026,
62
  "count": 20
63
  },
64
  "SnowballTarget.Losses.ValueLoss.mean": {
65
+ "value": 0.18339906156282212,
66
+ "min": 0.11749263923967887,
67
+ "max": 0.2594315111637115,
68
  "count": 20
69
  },
70
  "SnowballTarget.Losses.ValueLoss.sum": {
71
+ "value": 0.7335962462512885,
72
+ "min": 0.4699705569587155,
73
+ "max": 1.2971575558185575,
74
  "count": 20
75
  },
76
  "SnowballTarget.Policy.LearningRate.mean": {
77
+ "value": 8.082097306000007e-06,
78
+ "min": 8.082097306000007e-06,
79
  "max": 0.000291882002706,
80
  "count": 20
81
  },
82
  "SnowballTarget.Policy.LearningRate.sum": {
83
+ "value": 3.232838922400003e-05,
84
+ "min": 3.232838922400003e-05,
85
+ "max": 0.0013851600382800001,
86
  "count": 20
87
  },
88
  "SnowballTarget.Policy.Epsilon.mean": {
89
  "value": 0.10269400000000001,
90
  "min": 0.10269400000000001,
91
+ "max": 0.197294,
92
  "count": 20
93
  },
94
  "SnowballTarget.Policy.Epsilon.sum": {
95
  "value": 0.41077600000000003,
96
  "min": 0.41077600000000003,
97
+ "max": 0.9617200000000001,
98
  "count": 20
99
  },
100
  "SnowballTarget.Policy.Beta.mean": {
101
  "value": 0.0001444306000000001,
102
  "min": 0.0001444306000000001,
103
+ "max": 0.004864970599999999,
104
  "count": 20
105
  },
106
  "SnowballTarget.Policy.Beta.sum": {
107
  "value": 0.0005777224000000004,
108
  "min": 0.0005777224000000004,
109
+ "max": 0.023089828000000003,
110
  "count": 20
111
  },
112
  "SnowballTarget.Environment.CumulativeReward.mean": {
113
+ "value": 25.863636363636363,
114
+ "min": 3.4318181818181817,
115
+ "max": 26.09090909090909,
116
  "count": 20
117
  },
118
  "SnowballTarget.Environment.CumulativeReward.sum": {
119
+ "value": 1138.0,
120
+ "min": 151.0,
121
+ "max": 1435.0,
122
  "count": 20
123
  },
124
  "SnowballTarget.Policy.ExtrinsicReward.mean": {
125
+ "value": 25.863636363636363,
126
+ "min": 3.4318181818181817,
127
+ "max": 26.09090909090909,
128
  "count": 20
129
  },
130
  "SnowballTarget.Policy.ExtrinsicReward.sum": {
131
+ "value": 1138.0,
132
+ "min": 151.0,
133
+ "max": 1435.0,
134
  "count": 20
135
  },
136
  "SnowballTarget.IsTraining.mean": {
 
148
  },
149
  "metadata": {
150
  "timer_format_version": "0.1.0",
151
+ "start_time_seconds": "1711814671",
152
  "python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]",
153
+ "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget_2 --no-graphics",
154
  "mlagents_version": "1.1.0.dev0",
155
  "mlagents_envs_version": "1.1.0.dev0",
156
  "communication_protocol_version": "1.5.0",
157
  "pytorch_version": "2.2.1+cu121",
158
  "numpy_version": "1.23.5",
159
+ "end_time_seconds": "1711815177"
160
  },
161
+ "total": 505.92118633599966,
162
  "count": 1,
163
+ "self": 0.478293470999688,
164
  "children": {
165
  "run_training.setup": {
166
+ "total": 0.0508603180001046,
167
  "count": 1,
168
+ "self": 0.0508603180001046
169
  },
170
  "TrainerController.start_learning": {
171
+ "total": 505.39203254699987,
172
  "count": 1,
173
+ "self": 0.5827457259888433,
174
  "children": {
175
  "TrainerController._reset_env": {
176
+ "total": 1.9353972330000033,
177
  "count": 1,
178
+ "self": 1.9353972330000033
179
  },
180
  "TrainerController.advance": {
181
+ "total": 502.7830070160112,
182
  "count": 18199,
183
+ "self": 0.289797671955057,
184
  "children": {
185
  "env_step": {
186
+ "total": 502.49320934405614,
187
  "count": 18199,
188
+ "self": 334.5084811870879,
189
  "children": {
190
  "SubprocessEnvManager._take_step": {
191
+ "total": 167.68619183196734,
192
  "count": 18199,
193
+ "self": 1.5793524900013836,
194
  "children": {
195
  "TorchPolicy.evaluate": {
196
+ "total": 166.10683934196595,
197
  "count": 18199,
198
+ "self": 166.10683934196595
199
  }
200
  }
201
  },
202
  "workers": {
203
+ "total": 0.2985363250008959,
204
  "count": 18199,
205
  "self": 0.0,
206
  "children": {
207
  "worker_root": {
208
+ "total": 504.14980582205226,
209
  "count": 18199,
210
  "is_parallel": true,
211
+ "self": 269.17307836503824,
212
  "children": {
213
  "run_training.setup": {
214
  "total": 0.0,
 
217
  "self": 0.0,
218
  "children": {
219
  "steps_from_proto": {
220
+ "total": 0.0023864780000621977,
221
  "count": 1,
222
  "is_parallel": true,
223
+ "self": 0.0007074210011523974,
224
  "children": {
225
  "_process_rank_one_or_two_observation": {
226
+ "total": 0.0016790569989098003,
227
  "count": 10,
228
  "is_parallel": true,
229
+ "self": 0.0016790569989098003
230
  }
231
  }
232
  },
233
  "UnityEnvironment.step": {
234
+ "total": 0.039732972999900085,
235
  "count": 1,
236
  "is_parallel": true,
237
+ "self": 0.0007441459997608035,
238
  "children": {
239
  "UnityEnvironment._generate_step_input": {
240
+ "total": 0.00040609600000607315,
241
  "count": 1,
242
  "is_parallel": true,
243
+ "self": 0.00040609600000607315
244
  },
245
  "communicator.exchange": {
246
+ "total": 0.03622750400018049,
247
  "count": 1,
248
  "is_parallel": true,
249
+ "self": 0.03622750400018049
250
  },
251
  "steps_from_proto": {
252
+ "total": 0.0023552269999527198,
253
  "count": 1,
254
  "is_parallel": true,
255
+ "self": 0.0004313509998610243,
256
  "children": {
257
  "_process_rank_one_or_two_observation": {
258
+ "total": 0.0019238760000916955,
259
  "count": 10,
260
  "is_parallel": true,
261
+ "self": 0.0019238760000916955
262
  }
263
  }
264
  }
 
267
  }
268
  },
269
  "UnityEnvironment.step": {
270
+ "total": 234.97672745701402,
271
  "count": 18198,
272
  "is_parallel": true,
273
+ "self": 10.844048338034554,
274
  "children": {
275
  "UnityEnvironment._generate_step_input": {
276
+ "total": 5.8218318570225165,
277
  "count": 18198,
278
  "is_parallel": true,
279
+ "self": 5.8218318570225165
280
  },
281
  "communicator.exchange": {
282
+ "total": 181.59153125093917,
283
  "count": 18198,
284
  "is_parallel": true,
285
+ "self": 181.59153125093917
286
  },
287
  "steps_from_proto": {
288
+ "total": 36.71931601101778,
289
  "count": 18198,
290
  "is_parallel": true,
291
+ "self": 6.885056439073196,
292
  "children": {
293
  "_process_rank_one_or_two_observation": {
294
+ "total": 29.834259571944585,
295
  "count": 181980,
296
  "is_parallel": true,
297
+ "self": 29.834259571944585
298
  }
299
  }
300
  }
 
309
  }
310
  },
311
  "trainer_threads": {
312
+ "total": 0.00014016399973115767,
313
  "count": 1,
314
+ "self": 0.00014016399973115767,
315
  "children": {
316
  "thread_root": {
317
  "total": 0.0,
 
320
  "self": 0.0,
321
  "children": {
322
  "trainer_advance": {
323
+ "total": 496.4783875168664,
324
+ "count": 700008,
325
  "is_parallel": true,
326
+ "self": 16.220282634042178,
327
  "children": {
328
  "process_trajectory": {
329
+ "total": 257.3785882338234,
330
+ "count": 700008,
331
  "is_parallel": true,
332
+ "self": 256.83755923482295,
333
  "children": {
334
  "RLTrainer._checkpoint": {
335
+ "total": 0.5410289990004458,
336
  "count": 4,
337
  "is_parallel": true,
338
+ "self": 0.5410289990004458
339
  }
340
  }
341
  },
342
  "_update_policy": {
343
+ "total": 222.87951664900083,
344
  "count": 90,
345
  "is_parallel": true,
346
+ "self": 68.06298923500799,
347
  "children": {
348
  "TorchPPOOptimizer.update": {
349
+ "total": 154.81652741399284,
350
+ "count": 6116,
351
  "is_parallel": true,
352
+ "self": 154.81652741399284
353
  }
354
  }
355
  }
 
360
  }
361
  },
362
  "TrainerController._save_models": {
363
+ "total": 0.09074240800009648,
364
  "count": 1,
365
+ "self": 0.001034858000366512,
366
  "children": {
367
  "RLTrainer._checkpoint": {
368
+ "total": 0.08970754999972996,
369
  "count": 1,
370
+ "self": 0.08970754999972996
371
  }
372
  }
373
  }
run_logs/training_status.json CHANGED
@@ -3,57 +3,57 @@
3
  "checkpoints": [
4
  {
5
  "steps": 49936,
6
- "file_path": "results/SnowballTarget_1/SnowballTarget/SnowballTarget-49936.onnx",
7
- "reward": 13.909090909090908,
8
- "creation_time": 1711813617.8049924,
9
  "auxillary_file_paths": [
10
- "results/SnowballTarget_1/SnowballTarget/SnowballTarget-49936.pt"
11
  ]
12
  },
13
  {
14
  "steps": 99960,
15
- "file_path": "results/SnowballTarget_1/SnowballTarget/SnowballTarget-99960.onnx",
16
- "reward": 19.818181818181817,
17
- "creation_time": 1711813738.540396,
18
  "auxillary_file_paths": [
19
- "results/SnowballTarget_1/SnowballTarget/SnowballTarget-99960.pt"
20
  ]
21
  },
22
  {
23
  "steps": 149984,
24
- "file_path": "results/SnowballTarget_1/SnowballTarget/SnowballTarget-149984.onnx",
25
- "reward": 24.818181818181817,
26
- "creation_time": 1711813860.3873217,
27
  "auxillary_file_paths": [
28
- "results/SnowballTarget_1/SnowballTarget/SnowballTarget-149984.pt"
29
  ]
30
  },
31
  {
32
  "steps": 199984,
33
- "file_path": "results/SnowballTarget_1/SnowballTarget/SnowballTarget-199984.onnx",
34
- "reward": 25.636363636363637,
35
- "creation_time": 1711813977.9986396,
36
  "auxillary_file_paths": [
37
- "results/SnowballTarget_1/SnowballTarget/SnowballTarget-199984.pt"
38
  ]
39
  },
40
  {
41
  "steps": 200112,
42
- "file_path": "results/SnowballTarget_1/SnowballTarget/SnowballTarget-200112.onnx",
43
- "reward": 25.636363636363637,
44
- "creation_time": 1711813978.123454,
45
  "auxillary_file_paths": [
46
- "results/SnowballTarget_1/SnowballTarget/SnowballTarget-200112.pt"
47
  ]
48
  }
49
  ],
50
  "final_checkpoint": {
51
  "steps": 200112,
52
- "file_path": "results/SnowballTarget_1/SnowballTarget.onnx",
53
- "reward": 25.636363636363637,
54
- "creation_time": 1711813978.123454,
55
  "auxillary_file_paths": [
56
- "results/SnowballTarget_1/SnowballTarget/SnowballTarget-200112.pt"
57
  ]
58
  }
59
  },
 
3
  "checkpoints": [
4
  {
5
  "steps": 49936,
6
+ "file_path": "results/SnowballTarget_2/SnowballTarget/SnowballTarget-49936.onnx",
7
+ "reward": 14.0,
8
+ "creation_time": 1711814801.783286,
9
  "auxillary_file_paths": [
10
+ "results/SnowballTarget_2/SnowballTarget/SnowballTarget-49936.pt"
11
  ]
12
  },
13
  {
14
  "steps": 99960,
15
+ "file_path": "results/SnowballTarget_2/SnowballTarget/SnowballTarget-99960.onnx",
16
+ "reward": 22.181818181818183,
17
+ "creation_time": 1711814926.479054,
18
  "auxillary_file_paths": [
19
+ "results/SnowballTarget_2/SnowballTarget/SnowballTarget-99960.pt"
20
  ]
21
  },
22
  {
23
  "steps": 149984,
24
+ "file_path": "results/SnowballTarget_2/SnowballTarget/SnowballTarget-149984.onnx",
25
+ "reward": 25.181818181818183,
26
+ "creation_time": 1711815051.1420293,
27
  "auxillary_file_paths": [
28
+ "results/SnowballTarget_2/SnowballTarget/SnowballTarget-149984.pt"
29
  ]
30
  },
31
  {
32
  "steps": 199984,
33
+ "file_path": "results/SnowballTarget_2/SnowballTarget/SnowballTarget-199984.onnx",
34
+ "reward": 25.181818181818183,
35
+ "creation_time": 1711815176.589841,
36
  "auxillary_file_paths": [
37
+ "results/SnowballTarget_2/SnowballTarget/SnowballTarget-199984.pt"
38
  ]
39
  },
40
  {
41
  "steps": 200112,
42
+ "file_path": "results/SnowballTarget_2/SnowballTarget/SnowballTarget-200112.onnx",
43
+ "reward": 25.181818181818183,
44
+ "creation_time": 1711815176.709165,
45
  "auxillary_file_paths": [
46
+ "results/SnowballTarget_2/SnowballTarget/SnowballTarget-200112.pt"
47
  ]
48
  }
49
  ],
50
  "final_checkpoint": {
51
  "steps": 200112,
52
+ "file_path": "results/SnowballTarget_2/SnowballTarget.onnx",
53
+ "reward": 25.181818181818183,
54
+ "creation_time": 1711815176.709165,
55
  "auxillary_file_paths": [
56
+ "results/SnowballTarget_2/SnowballTarget/SnowballTarget-200112.pt"
57
  ]
58
  }
59
  },