metadata
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_7_task_1_run_id_1_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-1-difficulty-7
results:
- task:
type: sub-task
name: maximize_extinguished_burning_trees
task-id: 1
difficulty-id: 7
dataset:
name: hivex-aerial-wildfire-suppression
type: hivex-aerial-wildfire-suppression
metrics:
- type: crash_count
value: 0.42777778655290605 +/- 0.26862100733560945
name: Crash Count
verified: true
- type: extinguishing_trees
value: 33.80000016689301 +/- 38.84839322135217
name: Extinguishing Trees
verified: true
- type: extinguishing_trees_reward
value: 1690.0000106811524 +/- 1942.4196808320014
name: Extinguishing Trees Reward
verified: true
- type: fire_out
value: 0.06666666865348816 +/- 0.13679711768822556
name: Fire Out
verified: true
- type: fire_too_close_to_city
value: 0.9583333343267441 +/- 0.13106625028248262
name: Fire too Close to City
verified: true
- type: preparing_trees
value: 636.8777788162231 +/- 568.0216883131019
name: Preparing Trees
verified: true
- type: preparing_trees_reward
value: 636.8777788162231 +/- 568.0216883131019
name: Preparing Trees Reward
verified: true
- type: water_drop
value: 38.541666984558105 +/- 15.550133835890938
name: Water Drop
verified: true
- type: water_pickup
value: 38.38333382606506 +/- 15.581525306646949
name: Water Pickup
verified: true
- type: cumulative_reward
value: 2319.882499694824 +/- 1935.6842099941402
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 7 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 1
Difficulty: 7
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment