This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 3 with difficulty 9 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 3
Difficulty: 9
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-9

Drone-Based Reforestation

Collection

70 items • Updated 13 days ago

Evaluation results

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

1.3542225050926209 +/- 0.23333899783579354
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

49.953554458618164 +/- 6.4635271249103035
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

65.1268350982666 +/- 6.275221217555885
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.13542225003242492 +/- 0.02333390047639469
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

4.086031370162964 +/- 0.8049852876065032
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.03118088087067008 +/- 0.020989988346072946
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

11.123015098571777 +/- 0.6124465630966653
Tree Drop Count on hivex-drone-based-reforestation
self-reported

0.9591382348537445 +/- 0.028923095592019384
Cumulative Reward on hivex-drone-based-reforestation
self-reported

102.52203262329101 +/- 3.3865961577425283

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