This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 0
Difficulty: 8
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-8

Drone-Based Reforestation

Collection

70 items • Updated 22 days ago

Evaluation results

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

2.231035829782486 +/- 0.8328265468613688
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

66.65770332336426 +/- 16.760894397204105
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

61.44380241394043 +/- 13.630261327963224
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.22310358494520188 +/- 0.08328265504237621
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

5.744872629642487 +/- 1.9187415652465019
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.9406349241733551 +/- 0.06549559550080679
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

10.602158679962159 +/- 1.2842570609336479
Tree Drop Count on hivex-drone-based-reforestation
self-reported

1.0329841363430023 +/- 0.06435620343022462
Cumulative Reward on hivex-drone-based-reforestation
self-reported

8.81026906967163 +/- 3.1991946865922416

View on Papers With Code