--- library_name: hivex original_train_name: AerialWildfireSuppression_difficulty_4_task_1_run_id_2_train tags: - hivex - hivex-aerial-wildfire-suppression - reinforcement-learning - multi-agent-reinforcement-learning model-index: - name: hivex-AWS-PPO-baseline-task-1-difficulty-4 results: - task: type: sub-task name: maximize_extinguished_burning_trees task-id: 1 difficulty-id: 4 dataset: name: hivex-aerial-wildfire-suppression type: hivex-aerial-wildfire-suppression metrics: - type: crash_count value: 0.00833333358168602 +/- 0.03726780073566347 name: Crash Count verified: true - type: extinguishing_trees value: 15.225000095367431 +/- 25.73818226110129 name: Extinguishing Trees verified: true - type: extinguishing_trees_reward value: 761.2499908447265 +/- 1286.9091013360119 name: Extinguishing Trees Reward verified: true - type: fire_out value: 0.36666666716337204 +/- 0.4244018838665434 name: Fire Out verified: true - type: fire_too_close_to_city value: 0.925 +/- 0.24468024246479642 name: Fire too Close to City verified: true - type: preparing_trees value: 651.3250035211444 +/- 627.0399351081593 name: Preparing Trees verified: true - type: preparing_trees_reward value: 651.3250035211444 +/- 627.0399351081593 name: Preparing Trees Reward verified: true - type: water_drop value: 46.266666889190674 +/- 26.519958404149136 name: Water Drop verified: true - type: water_pickup value: 45.76666655540466 +/- 26.436529035148055 name: Water Pickup verified: true - type: cumulative_reward value: 1711.8633205413819 +/- 2423.7230528427467 name: Cumulative Reward verified: true --- This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task 1 with difficulty 4 using the Proximal Policy Optimization (PPO) algorithm.

Environment: **Aerial Wildfire Suppression**
Task: 1
Difficulty: 4
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test [Scripts](https://github.com/hivex-research/hivex)
Download the [Environment](https://github.com/hivex-research/hivex-environments)