This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 3 with difficulty 10 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 3
Difficulty: 10
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-reported1.3822244083881379 +/- 0.2799904225640544
- Cumulative Distance Until Tree Drop on hivex-drone-based-reforestationself-reported49.66127479553223 +/- 7.218445332813338
- Cumulative Distance to Existing Trees on hivex-drone-based-reforestationself-reported65.08539611816406 +/- 5.7159717268853285
- Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestationself-reported0.13822243928909303 +/- 0.027999042034590665
- Cumulative Tree Drop Reward on hivex-drone-based-reforestationself-reported4.014332270622253 +/- 0.740893757159681
- Out of Energy Count on hivex-drone-based-reforestationself-reported0.03652440816164017 +/- 0.02224060499692208
- Recharge Energy Count on hivex-drone-based-reforestationself-reported10.598072090148925 +/- 0.5897619835270185
- Tree Drop Count on hivex-drone-based-reforestationself-reported0.9516399455070496 +/- 0.03216850980609787
- Cumulative Reward on hivex-drone-based-reforestationself-reported101.69934463500977 +/- 3.379470856148503