metadata
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_9_task_4_run_id_0_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-4-difficulty-9
results:
- task:
type: sub-task
name: protect_village
task-id: 4
difficulty-id: 9
dataset:
name: hivex-aerial-wildfire-suppression
type: hivex-aerial-wildfire-suppression
metrics:
- type: crash_count
value: 0.996428570151329 +/- 0.015971919837000092
name: Crash Count
verified: true
- type: extinguishing_trees
value: 0.04055555630475283 +/- 0.1275818509161524
name: Extinguishing Trees
verified: true
- type: extinguishing_trees_reward
value: 0.20277777537703515 +/- 0.6379092306314261
name: Extinguishing Trees Reward
verified: true
- type: fire_too_close_to_city
value: 0.004545454680919647 +/- 0.020327891310361893
name: Fire too Close to City
verified: true
- type: preparing_trees
value: 276.61525497436526 +/- 33.81716366148196
name: Preparing Trees
verified: true
- type: preparing_trees_reward
value: 276.61525497436526 +/- 33.81716366148196
name: Preparing Trees Reward
verified: true
- type: water_drop
value: 2.0456768214702605 +/- 0.4084652912050666
name: Water Drop
verified: true
- type: water_pickup
value: 2.0456768214702605 +/- 0.4084652912050666
name: Water Pickup
verified: true
- type: cumulative_reward
value: 177.27129974365235 +/- 36.12212164713132
name: Cumulative Reward
verified: true
This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 4 with difficulty 9 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 4
Difficulty: 9
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment