|
--- |
|
library_name: hivex |
|
original_train_name: AerialWildfireSuppression_difficulty_4_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-4 |
|
results: |
|
- task: |
|
type: sub-task |
|
name: maximize_extinguished_burning_trees |
|
task-id: 1 |
|
difficulty-id: 4 |
|
dataset: |
|
name: hivex-aerial-wildfire-suppression |
|
type: hivex-aerial-wildfire-suppression |
|
metrics: |
|
- type: crash_count |
|
value: 0.00833333358168602 +/- 0.03726780073566347 |
|
name: Crash Count |
|
verified: true |
|
- type: extinguishing_trees |
|
value: 15.225000095367431 +/- 25.73818226110129 |
|
name: Extinguishing Trees |
|
verified: true |
|
- type: extinguishing_trees_reward |
|
value: 761.2499908447265 +/- 1286.9091013360119 |
|
name: Extinguishing Trees Reward |
|
verified: true |
|
- type: fire_out |
|
value: 0.36666666716337204 +/- 0.4244018838665434 |
|
name: Fire Out |
|
verified: true |
|
- type: fire_too_close_to_city |
|
value: 0.925 +/- 0.24468024246479642 |
|
name: Fire too Close to City |
|
verified: true |
|
- type: preparing_trees |
|
value: 651.3250035211444 +/- 627.0399351081593 |
|
name: Preparing Trees |
|
verified: true |
|
- type: preparing_trees_reward |
|
value: 651.3250035211444 +/- 627.0399351081593 |
|
name: Preparing Trees Reward |
|
verified: true |
|
- type: water_drop |
|
value: 46.266666889190674 +/- 26.519958404149136 |
|
name: Water Drop |
|
verified: true |
|
- type: water_pickup |
|
value: 45.76666655540466 +/- 26.436529035148055 |
|
name: Water Pickup |
|
verified: true |
|
- type: cumulative_reward |
|
value: 1711.8633205413819 +/- 2423.7230528427467 |
|
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>4</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br> |
|
|
|
Environment: **Aerial Wildfire Suppression**<br> |
|
Task: <code>1</code><br> |
|
Difficulty: <code>4</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) |
|
|
|
[hivex-paper]: https://arxiv.org/abs/2501.04180 |
