|
---
|
|
library_name: hivex
|
|
original_train_name: AerialWildfireSuppression_difficulty_2_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-2
|
|
results:
|
|
- task:
|
|
type: sub-task
|
|
name: maximize_extinguished_burning_trees
|
|
task-id: 1
|
|
difficulty-id: 2
|
|
dataset:
|
|
name: hivex-aerial-wildfire-suppression
|
|
type: hivex-aerial-wildfire-suppression
|
|
metrics:
|
|
- type: crash_count
|
|
value: 0.5083333425223827 +/- 0.2699330882907145
|
|
name: Crash Count
|
|
verified: true
|
|
- type: extinguishing_trees
|
|
value: 4.355555608123541 +/- 6.907337205240576
|
|
name: Extinguishing Trees
|
|
verified: true
|
|
- type: extinguishing_trees_reward
|
|
value: 217.77777848243713 +/- 345.36685865656506
|
|
name: Extinguishing Trees Reward
|
|
verified: true
|
|
- type: fire_out
|
|
value: 0.03333333432674408 +/- 0.08719139656193886
|
|
name: Fire Out
|
|
verified: true
|
|
- type: fire_too_close_to_city
|
|
value: 0.5000000014901161 +/- 0.38616422218364055
|
|
name: Fire too Close to City
|
|
verified: true
|
|
- type: preparing_trees
|
|
value: 390.2111080169678 +/- 226.11041224327414
|
|
name: Preparing Trees
|
|
verified: true
|
|
- type: preparing_trees_reward
|
|
value: 390.2111080169678 +/- 226.11041224327414
|
|
name: Preparing Trees Reward
|
|
verified: true
|
|
- type: water_drop
|
|
value: 6.283333307504654 +/- 3.095559538761643
|
|
name: Water Drop
|
|
verified: true
|
|
- type: water_pickup
|
|
value: 5.966666650772095 +/- 3.12197354808832
|
|
name: Water Pickup
|
|
verified: true
|
|
- type: cumulative_reward
|
|
value: 546.4062370300293 +/- 319.2706067457673
|
|
name: Cumulative Reward
|
|
verified: true
|
|
---
|
|
|
|
This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>1</code> with difficulty <code>2</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>
|
|
|
|
Environment: **Aerial Wildfire Suppression**<br>
|
|
Task: <code>1</code><br>
|
|
Difficulty: <code>2</code><br>
|
|
Algorithm: <code>PPO</code><br>
|
|
Episode Length: <code>3000</code><br>
|
|
Training <code>max_steps</code>: <code>1800000</code><br>
|
|
Testing <code>max_steps</code>: <code>180000</code><br><br>
|
|
|
|
Train & Test [Scripts](https://github.com/hivex-research/hivex)<br>
|
|
Download the [Environment](https://github.com/hivex-research/hivex-environments) |
