|
|
--- |
|
|
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 <code>4</code> with difficulty <code>3</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br> |
|
|
|
|
|
Environment: **Aerial Wildfire Suppression**<br> |
|
|
Task: <code>4</code><br> |
|
|
Difficulty: <code>3</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 |
