This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 0 with difficulty 4 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 0
Difficulty: 4
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test Scripts
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Reinforcement Learning

Collection including hivex-research/hivex-AWS-PPO-baseline-task-0-difficulty-4

Aerial Wildfire Suppression

Collection

89 items • Updated 23 days ago

Evaluation results

Crash Count on hivex-aerial-wildfire-suppression
self-reported

0.26666667461395266 +/- 0.24423170630035398
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

24.53333340883255 +/- 44.947390538539814
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

122.66666712760926 +/- 224.73694526974205
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.14166666939854622 +/- 0.24348229211157768
Fire too Close to City on hivex-aerial-wildfire-suppression
self-reported

0.975 +/- 0.11180339887498947
Preparing Trees on hivex-aerial-wildfire-suppression
self-reported

818.2583312273025 +/- 623.9383921347651
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

818.2583312273025 +/- 623.9383921347651
Water Drop on hivex-aerial-wildfire-suppression
self-reported

12.241666674613953 +/- 5.139423095979583
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

11.858333373069764 +/- 5.146473016503177
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

1014.383337020874 +/- 634.9201357813032

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