This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 2 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 2
Difficulty: 3
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000

Train & Test Scripts
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Reinforcement Learning

Collection including hivex-research/hivex-DBR-PPO-baseline-task-2-difficulty-3

Drone-Based Reforestation

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70 items • Updated 10 days ago

Evaluation results

Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.5888889038562775 +/- 0.0675676097983043
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

129.42655548289417 +/- 97.50913345970434
Cumulative Reward on hivex-drone-based-reforestation
self-reported

12.44538935303688 +/- 8.733677848024621

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