This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3 with difficulty 9 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 9
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-9

Aerial Wildfire Suppression

Collection

89 items • Updated 22 days ago

Evaluation results

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

0.0833333358168602 +/- 0.12681432215480823
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

40.43333244919777 +/- 89.55848904778
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

202.1666701555252 +/- 447.79246693057974
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.31666667088866235 +/- 0.38578544750821686
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

889.5999923229217 +/- 798.283831409951
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

889.5999923229217 +/- 798.283831409951
Water Drop on hivex-aerial-wildfire-suppression
self-reported

46.18333358764649 +/- 23.596319104972988
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

45.63333377838135 +/- 23.684241605268586
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

1184.7800241470336 +/- 941.7770730791063

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