This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 4 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 0
Difficulty: 4
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-reported2.2025150191783904 +/- 0.8048838225723474
- Cumulative Distance Until Tree Drop on hivex-drone-based-reforestationself-reported70.3463491821289 +/- 13.872446958274292
- Cumulative Distance to Existing Trees on hivex-drone-based-reforestationself-reported63.00524223327637 +/- 14.558269040918253
- Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestationself-reported0.2202515023946762 +/- 0.08048838503417874
- Cumulative Tree Drop Reward on hivex-drone-based-reforestationself-reported5.9483204627037045 +/- 2.3428193553001173
- Out of Energy Count on hivex-drone-based-reforestationself-reported0.9133015894889831 +/- 0.07074894155629612
- Recharge Energy Count on hivex-drone-based-reforestationself-reported11.649015922546386 +/- 1.7220237341546332
- Tree Drop Count on hivex-drone-based-reforestationself-reported1.0417143070697785 +/- 0.08413648907043028
- Cumulative Reward on hivex-drone-based-reforestationself-reported9.298489372730256 +/- 3.9538719454855293