This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 3 with difficulty 7 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 3
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-3-difficulty-7

Drone-Based Reforestation

Collection

70 items • Updated Jan 7

Evaluation results

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

1.3364013075828551 +/- 0.28799869386679394
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

49.32145935058594 +/- 5.925578414273251
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

65.15668449401855 +/- 5.863480554164979
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.1336401303112507 +/- 0.028799868452171418
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

3.9665349340438842 +/- 0.7359914045841582
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.03556458073668182 +/- 0.01864171812248584
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

11.073680667877197 +/- 0.6686583978261852
Tree Drop Count on hivex-drone-based-reforestation
self-reported

0.9511495363712311 +/- 0.027165762086272822
Cumulative Reward on hivex-drone-based-reforestation
self-reported

101.46505523681641 +/- 3.079002322895952

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