metadata
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_3_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-3
results:
- task:
type: sub-task
name: protect_village
task-id: 4
difficulty-id: 3
dataset:
name: hivex-aerial-wildfire-suppression
type: hivex-aerial-wildfire-suppression
metrics:
- type: crash_count
value: 0.995833334326744 +/- 0.01863389536983029
name: Crash Count
verified: true
- type: extinguishing_trees
value: 0.2034926237538457 +/- 0.4116170031592015
name: Extinguishing Trees
verified: true
- type: extinguishing_trees_reward
value: 1.0174630872905255 +/- 2.0580849483100514
name: Extinguishing Trees Reward
verified: true
- type: fire_too_close_to_city
value: 0.026969697698950766 +/- 0.04238606278064562
name: Fire too Close to City
verified: true
- type: preparing_trees
value: 222.16366958618164 +/- 30.50323526327436
name: Preparing Trees
verified: true
- type: preparing_trees_reward
value: 222.16366958618164 +/- 30.50323526327436
name: Preparing Trees Reward
verified: true
- type: water_drop
value: 1.5261266589164735 +/- 0.27324174769670806
name: Water Drop
verified: true
- type: water_pickup
value: 1.5261266589164735 +/- 0.27324174769670806
name: Water Pickup
verified: true
- type: cumulative_reward
value: 112.0983154296875 +/- 26.748844898286993
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 3 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 4
Difficulty: 3
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment