This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 0 with difficulty 2 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 0
Difficulty: 2
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-2

Aerial Wildfire Suppression

Collection

89 items • Updated 23 days ago

Evaluation results

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

0.17500000447034836 +/- 0.20572934505430354
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

11.175000129640102 +/- 18.059880604876085
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

55.874999076128006 +/- 90.29940061063385
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.28333333805203437 +/- 0.34666329618689634
Fire too Close to City on hivex-aerial-wildfire-suppression
self-reported

0.825 +/- 0.3354101966249685
Preparing Trees on hivex-aerial-wildfire-suppression
self-reported

663.6749959468841 +/- 454.0686107184048
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

663.6749959468841 +/- 454.0686107184048
Water Drop on hivex-aerial-wildfire-suppression
self-reported

34.224999928474425 +/- 17.930769804240374
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

33.84999995231628 +/- 17.957706990252632
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

749.1333358764648 +/- 395.7873496420998

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