This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 6 with difficulty 10 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 6
Difficulty: 10
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-6-difficulty-10

Drone-Based Reforestation

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70 items • Updated 11 days ago

Evaluation results

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

145.3162744140625 +/- 16.56809975363289
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.6137142992019653 +/- 0.06761382979128498
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

87.83206408053637 +/- 89.92533602087437
Cumulative Reward on hivex-drone-based-reforestation
self-reported

4.497616881728172 +/- 5.530710758562201

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