This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 3 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 3
Difficulty: 3
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-reported1.3285970211029052 +/- 0.2026441385418575
- Cumulative Distance Until Tree Drop on hivex-drone-based-reforestationself-reported47.9919889831543 +/- 5.6265548956948175
- Cumulative Distance to Existing Trees on hivex-drone-based-reforestationself-reported65.33616821289063 +/- 5.588311427115504
- Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestationself-reported0.1328597016632557 +/- 0.0202644141787037
- Cumulative Tree Drop Reward on hivex-drone-based-reforestationself-reported3.886158046722412 +/- 0.6842395486126234
- Out of Energy Count on hivex-drone-based-reforestationself-reported0.0312901480961591 +/- 0.022431259975135485
- Recharge Energy Count on hivex-drone-based-reforestationself-reported10.788163661956787 +/- 0.49577403931861075
- Tree Drop Count on hivex-drone-based-reforestationself-reported0.9570524430274964 +/- 0.029623495473389997
- Cumulative Reward on hivex-drone-based-reforestationself-reported102.01719390869141 +/- 3.2560710700635593