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

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

Drone-Based Reforestation

Collection

70 items • Updated 11 days ago

Evaluation results

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

1.3285970211029052 +/- 0.2026441385418575
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

47.9919889831543 +/- 5.6265548956948175
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

65.33616821289063 +/- 5.588311427115504
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.1328597016632557 +/- 0.0202644141787037
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

3.886158046722412 +/- 0.6842395486126234
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.0312901480961591 +/- 0.022431259975135485
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

10.788163661956787 +/- 0.49577403931861075
Tree Drop Count on hivex-drone-based-reforestation
self-reported

0.9570524430274964 +/- 0.029623495473389997
Cumulative Reward on hivex-drone-based-reforestation
self-reported

102.01719390869141 +/- 3.2560710700635593

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