This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 0
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-0-difficulty-3

Drone-Based Reforestation

Collection

70 items • Updated 22 days ago

Evaluation results

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

2.2798677325248717 +/- 0.826199092335029
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

71.01197761535644 +/- 15.915402716637344
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

62.63453010559082 +/- 13.028011782073118
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.22798677459359168 +/- 0.08261990936252438
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

6.079879174232483 +/- 1.9570747333814178
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.9128571474552154 +/- 0.0670314456167534
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

10.353745937347412 +/- 1.1334994783704704
Tree Drop Count on hivex-drone-based-reforestation
self-reported

1.0618095421791076 +/- 0.07039888032455249
Cumulative Reward on hivex-drone-based-reforestation
self-reported

9.758727273941041 +/- 3.0183970200236456

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