File size: 2,479 Bytes
b1e31cd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
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) |