This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 6 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 0
Difficulty: 6
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-reported2.278297426700592 +/- 0.7970550172943512
- Cumulative Distance Until Tree Drop on hivex-drone-based-reforestationself-reported71.83662818908691 +/- 16.138112577766993
- Cumulative Distance to Existing Trees on hivex-drone-based-reforestationself-reported63.50090087890625 +/- 12.724329294351138
- Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestationself-reported0.22782974272966386 +/- 0.07970550120723825
- Cumulative Tree Drop Reward on hivex-drone-based-reforestationself-reported6.105163459777832 +/- 2.096869181395617
- Out of Energy Count on hivex-drone-based-reforestationself-reported0.9176825439929962 +/- 0.07301305856737815
- Recharge Energy Count on hivex-drone-based-reforestationself-reported10.315396842956543 +/- 1.078328692209581
- Tree Drop Count on hivex-drone-based-reforestationself-reported1.0677143037319183 +/- 0.07302193295701627
- Cumulative Reward on hivex-drone-based-reforestationself-reported9.875887503623963 +/- 3.754279000733476