This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 6 with difficulty 1 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 6
Difficulty: 1
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-1

Drone-Based Reforestation

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70 items • Updated 23 days ago

Evaluation results

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

151.70707122802733 +/- 14.929790597220135
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.5966190642118454 +/- 0.06758982961928896
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

106.57069860748946 +/- 102.31928670254374
Cumulative Reward on hivex-drone-based-reforestation
self-reported

7.9787830454111095 +/- 7.394977644057405

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