This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 1 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 0
Difficulty: 1
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment
Evaluation results
- Cumulative Distance Reward on hivex-drone-based-reforestationself-reported2.0864201402664184 +/- 0.6296944874797746
- Cumulative Distance Until Tree Drop on hivex-drone-based-reforestationself-reported63.19091514587402 +/- 12.303839558575664
- Cumulative Distance to Existing Trees on hivex-drone-based-reforestationself-reported61.76650863647461 +/- 13.908253887773586
- Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestationself-reported0.20864201247692107 +/- 0.06296944883377423
- Cumulative Tree Drop Reward on hivex-drone-based-reforestationself-reported5.931592869758606 +/- 1.8518746378631161
- Out of Energy Count on hivex-drone-based-reforestationself-reported0.9266984140872956 +/- 0.06184757754397895
- Recharge Energy Count on hivex-drone-based-reforestationself-reported10.601777839660645 +/- 1.2478378815502142
- Tree Drop Count on hivex-drone-based-reforestationself-reported1.0418095350265504 +/- 0.08056789785926544
- Cumulative Reward on hivex-drone-based-reforestationself-reported8.961133165359497 +/- 2.7381643935331064