|
|
--- |
|
|
library_name: hivex |
|
|
original_train_name: AerialWildfireSuppression_difficulty_1_task_8_run_id_1_train |
|
|
tags: |
|
|
- hivex |
|
|
- hivex-aerial-wildfire-suppression |
|
|
- reinforcement-learning |
|
|
- multi-agent-reinforcement-learning |
|
|
model-index: |
|
|
- name: hivex-AWS-PPO-baseline-task-8-difficulty-1 |
|
|
results: |
|
|
- task: |
|
|
type: sub-task |
|
|
name: find_village |
|
|
task-id: 8 |
|
|
difficulty-id: 1 |
|
|
dataset: |
|
|
name: hivex-aerial-wildfire-suppression |
|
|
type: hivex-aerial-wildfire-suppression |
|
|
metrics: |
|
|
- type: crash_count |
|
|
value: 0.19555556140840052 +/- 0.18555363510976094 |
|
|
name: Crash Count |
|
|
verified: true |
|
|
- type: cumulative_reward |
|
|
value: 8.604437494277954 +/- 47.865451127585864 |
|
|
name: Cumulative Reward |
|
|
verified: true |
|
|
--- |
|
|
|
|
|
This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>8</code> with difficulty <code>1</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br> |
|
|
|
|
|
Environment: **Aerial Wildfire Suppression**<br> |
|
|
Task: <code>8</code><br> |
|
|
Difficulty: <code>1</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 |
