This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 6 with difficulty 7 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 6
Difficulty: 7
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-7

Drone-Based Reforestation

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70 items • Updated 27 days ago

Evaluation results

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

152.78737213134767 +/- 15.875055616873581
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.6084603321552277 +/- 0.07243285265469618
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

116.55490475527942 +/- 110.09428246044726
Cumulative Reward on hivex-drone-based-reforestation
self-reported

5.840798933617771 +/- 6.316007854321488

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