This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 3 with difficulty 6 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 3
Difficulty: 6
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000

Train & Test Scripts
Download the Environment

Downloads last month: -; Downloads are not tracked for this model. How to track

Video Preview

Reinforcement Learning

Collection including hivex-research/hivex-DBR-PPO-baseline-task-3-difficulty-6

Drone-Based Reforestation

Collection

70 items • Updated Jan 7

Evaluation results

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

1.3454772663116454 +/- 0.25212101346663623
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

48.78826332092285 +/- 5.743127534874983
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

64.26434959411621 +/- 5.284372460543501
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.1345477257668972 +/- 0.02521210110839935
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

4.1371043682098385 +/- 0.5887544719292628
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.031587274074554444 +/- 0.021537219176821762
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

10.989339809417725 +/- 0.5768743885606192
Tree Drop Count on hivex-drone-based-reforestation
self-reported

0.9577047204971314 +/- 0.02966963426330889
Cumulative Reward on hivex-drone-based-reforestation
self-reported

102.36149932861328 +/- 3.0284734534759377

View on Papers With Code