This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 6 with difficulty 2 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 6
Difficulty: 2
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000

Train & Test Scripts
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Reinforcement Learning

Evaluation results

Furthest Distance Explored on hivex-drone-based-reforestation
self-reported

168.98811096191406 +/- 14.397350162774785
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.6052063649892807 +/- 0.07042549223909607
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

105.80906302928925 +/- 107.6122695299055
Cumulative Reward on hivex-drone-based-reforestation
self-reported

8.523429723531008 +/- 8.479993355695575

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