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

Environment: Drone-Based Reforestation
Task: 3
Difficulty: 2
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-3-difficulty-2

Drone-Based Reforestation

Collection

70 items • Updated 11 days ago

Evaluation results

Cumulative Distance Reward on hivex-drone-based-reforestation
self-reported

1.2730848133563994 +/- 0.31384063871152373
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

46.571126289367676 +/- 6.711804112230181
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

62.378562469482425 +/- 4.8385232941913126
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.12730848103761672 +/- 0.03138406355454151
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

4.010982251167297 +/- 0.6601700266326962
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.05754003098234534 +/- 0.03282736545941193
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

11.035588264465332 +/- 0.725159645414964
Tree Drop Count on hivex-drone-based-reforestation
self-reported

0.9222618734836578 +/- 0.04192513553044461
Cumulative Reward on hivex-drone-based-reforestation
self-reported

98.53370529174805 +/- 5.198916602319761

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