This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 3 with difficulty 1 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 3
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-reported1.1704939258098603 +/- 0.19094953820226412
- Cumulative Distance Until Tree Drop on hivex-drone-based-reforestationself-reported45.521212310791014 +/- 5.629736102757813
- Cumulative Distance to Existing Trees on hivex-drone-based-reforestationself-reported63.47206115722656 +/- 6.1461301353938405
- Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestationself-reported0.11704939216375351 +/- 0.019094953655432356
- Cumulative Tree Drop Reward on hivex-drone-based-reforestationself-reported3.866243634223938 +/- 0.8022492017418626
- Out of Energy Count on hivex-drone-based-reforestationself-reported0.0493655932508409 +/- 0.028394293838768382
- Recharge Energy Count on hivex-drone-based-reforestationself-reported10.92464771270752 +/- 0.6682069442874347
- Tree Drop Count on hivex-drone-based-reforestationself-reported0.9307654321193695 +/- 0.038764458231368655
- Cumulative Reward on hivex-drone-based-reforestationself-reported99.16041168212891 +/- 4.422805341579576