This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 3 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Drone-Based Reforestation
Task: 3
Difficulty: 8
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-8

Drone-Based Reforestation

Collection

70 items • Updated 11 days ago

Evaluation results

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

1.3624776875972748 +/- 0.28554580887628567
Cumulative Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

48.52491760253906 +/- 6.240952470711805
Cumulative Distance to Existing Trees on hivex-drone-based-reforestation
self-reported

64.33281471252441 +/- 6.835068347254503
Cumulative Normalized Distance Until Tree Drop on hivex-drone-based-reforestation
self-reported

0.13624776691198348 +/- 0.02855457901250283
Cumulative Tree Drop Reward on hivex-drone-based-reforestation
self-reported

4.091673822402954 +/- 0.9169991715461574
Out of Energy Count on hivex-drone-based-reforestation
self-reported

0.03841008508577943 +/- 0.017628847741743853
Recharge Energy Count on hivex-drone-based-reforestation
self-reported

10.952794055938721 +/- 0.6585423813912649
Tree Drop Count on hivex-drone-based-reforestation
self-reported

0.9443181335926056 +/- 0.027217821741009757
Cumulative Reward on hivex-drone-based-reforestation
self-reported

101.03555679321289 +/- 3.1604495163459303

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