metadata
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_3_task_3_run_id_2_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-3-difficulty-3
results:
- task:
type: sub-task
name: minimize_time_fire_burning
task-id: 3
difficulty-id: 3
dataset:
name: hivex-aerial-wildfire-suppression
type: hivex-aerial-wildfire-suppression
metrics:
- type: crash_count
value: 0.13333333730697633 +/- 0.191942979707825
name: Crash Count
verified: true
- type: extinguishing_trees
value: 14.541666804254055 +/- 26.166017687701483
name: Extinguishing Trees
verified: true
- type: extinguishing_trees_reward
value: 72.70833533406258 +/- 130.83009063914585
name: Extinguishing Trees Reward
verified: true
- type: fire_out
value: 0.2750000022351742 +/- 0.37570596434541476
name: Fire Out
verified: true
- type: fire_too_close_to_city
value: 0.8 +/- 0.37696851746252596
name: Fire too Close to City
verified: true
- type: preparing_trees
value: 428.6583277225494 +/- 398.934153701881
name: Preparing Trees
verified: true
- type: preparing_trees_reward
value: 428.6583277225494 +/- 398.934153701881
name: Preparing Trees Reward
verified: true
- type: water_drop
value: 39.44999980926514 +/- 25.819498042077623
name: Water Drop
verified: true
- type: water_pickup
value: 39.03333339691162 +/- 25.770557823927213
name: Water Pickup
verified: true
- type: cumulative_reward
value: 570.5418758392334 +/- 430.32791406985166
name: Cumulative Reward
verified: true
This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 3
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment