metadata
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_9_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-9
results:
- task:
type: sub-task
name: maximize_extinguished_burning_trees
task-id: 1
difficulty-id: 9
dataset:
name: hivex-aerial-wildfire-suppression
type: hivex-aerial-wildfire-suppression
metrics:
- type: crash_count
value: 0.38333334103226663 +/- 0.2709092371191193
name: Crash Count
verified: true
- type: extinguishing_trees
value: 17.783333230018616 +/- 23.626856569133906
name: Extinguishing Trees
verified: true
- type: extinguishing_trees_reward
value: 889.1666702270508 +/- 1181.3428509988885
name: Extinguishing Trees Reward
verified: true
- type: fire_out
value: 0.10000000298023223 +/- 0.13679711768822556
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: 669.3166633605957 +/- 541.9104371075354
name: Preparing Trees
verified: true
- type: preparing_trees_reward
value: 669.3166633605957 +/- 541.9104371075354
name: Preparing Trees Reward
verified: true
- type: water_drop
value: 25.191666746139525 +/- 15.035657045429138
name: Water Drop
verified: true
- type: water_pickup
value: 25.01666667461395 +/- 15.04835278769134
name: Water Pickup
verified: true
- type: cumulative_reward
value: 1912.962504005432 +/- 2485.098888848231
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 9 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 1
Difficulty: 9
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment