This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 9 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 0
Difficulty: 9
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-reported1.9881950914859772 +/- 0.6435197796866906
- Cumulative Distance Until Tree Drop on hivex-drone-based-reforestationself-reported62.70152519226074 +/- 15.481708378361306
- Cumulative Distance to Existing Trees on hivex-drone-based-reforestationself-reported65.97381935119628 +/- 11.85813603247749
- Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestationself-reported0.19881950929760933 +/- 0.06435197701542571
- Cumulative Tree Drop Reward on hivex-drone-based-reforestationself-reported5.003359270095825 +/- 1.691449588116139
- Out of Energy Count on hivex-drone-based-reforestationself-reported0.9511428594589233 +/- 0.05597489611462524
- Recharge Energy Count on hivex-drone-based-reforestationself-reported10.313650798797607 +/- 1.3015464035988247
- Tree Drop Count on hivex-drone-based-reforestationself-reported1.0218095362186432 +/- 0.05570651145686611
- Cumulative Reward on hivex-drone-based-reforestationself-reported7.543602123260498 +/- 2.5896056315352975