This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3 with difficulty 7 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 7
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-3-difficulty-7

Aerial Wildfire Suppression

Collection

89 items • Updated 1 day ago

Evaluation results

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

0.06666666865348816 +/- 0.12565617623235442
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

7.908333319425583 +/- 16.36833652069324
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

39.541666293144225 +/- 81.84168247486198
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.25000000223517416 +/- 0.37658049139486893
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

509.2750062227249 +/- 625.6526270127268
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

509.2750062227249 +/- 625.6526270127268
Water Drop on hivex-aerial-wildfire-suppression
self-reported

62.22499976158142 +/- 27.943513820272507
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

61.808333253860475 +/- 27.991450221952636
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

622.9698296546936 +/- 494.1472072826427

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