Aerial Wildfire Suppression
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Updated
This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 0 with difficulty 10 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 0
Difficulty: 10
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment
Collection including hivex-research/hivex-AWS-PPO-baseline-task-0-difficulty-10
Evaluation results
- Crash Count on hivex-aerial-wildfire-suppressionself-reported0.3416666768491268 +/- 0.20572934629325312
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported22.541666667163373 +/- 44.01873186547685
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported112.70833333134651 +/- 220.0936595589533
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.07500000223517418 +/- 0.1750104476777611
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.875 +/- 0.31933318682925255
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported674.8416697263717 +/- 544.8041855624299
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported674.8416697263717 +/- 544.8041855624299
- Water Drop on hivex-aerial-wildfire-suppressionself-reported49.54999938011169 +/- 18.605090713043403
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported49.26666617393494 +/- 18.509156507840594
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported880.1708267211914 +/- 503.11196457140045