This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 4 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 0
Difficulty: 4
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-0-difficulty-4

Drone-Based Reforestation

Collection

70 items • Updated 10 days ago

Evaluation results

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

2.2025150191783904 +/- 0.8048838225723474
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

70.3463491821289 +/- 13.872446958274292
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

63.00524223327637 +/- 14.558269040918253
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.2202515023946762 +/- 0.08048838503417874
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

5.9483204627037045 +/- 2.3428193553001173
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.9133015894889831 +/- 0.07074894155629612
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

11.649015922546386 +/- 1.7220237341546332
Tree Drop Count on hivex-drone-based-reforestation
self-reported

1.0417143070697785 +/- 0.08413648907043028
Cumulative Reward on hivex-drone-based-reforestation
self-reported

9.298489372730256 +/- 3.9538719454855293

View on Papers With Code