metadata
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_4_task_2_run_id_2_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-2-difficulty-4
results:
- task:
type: sub-task
name: maximize_preparing_non_burning_trees
task-id: 2
difficulty-id: 4
dataset:
name: hivex-aerial-wildfire-suppression
type: hivex-aerial-wildfire-suppression
metrics:
- type: crash_count
value: 0.2666666738688946 +/- 0.21220094741551065
name: Crash Count
verified: true
- type: extinguishing_trees
value: 15.033333298563957 +/- 25.090456231376915
name: Extinguishing Trees
verified: true
- type: extinguishing_trees_reward
value: 75.16666680574417 +/- 125.45228120233335
name: Extinguishing Trees Reward
verified: true
- type: fire_out
value: 0.08333333507180214 +/- 0.19117978221378917
name: Fire Out
verified: true
- type: fire_too_close_to_city
value: 0.65 +/- 0.4006573545930159
name: Fire too Close to City
verified: true
- type: preparing_trees
value: 698.3916749000549 +/- 592.6497869663837
name: Preparing Trees
verified: true
- type: preparing_trees_reward
value: 3491.958309555054 +/- 2963.248872852455
name: Preparing Trees Reward
verified: true
- type: water_drop
value: 37.541666984558105 +/- 19.128060369297387
name: Water Drop
verified: true
- type: water_pickup
value: 37.23333339691162 +/- 18.986482878845344
name: Water Pickup
verified: true
- type: cumulative_reward
value: 3759.337190246582 +/- 2254.2074397931997
name: Cumulative Reward
verified: true
This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 2 with difficulty 4 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 2
Difficulty: 4
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment