Edit model card

This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 1 with difficulty 4 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 1
Difficulty: 4
Algorithm: PPO
Episode Length: 500
Training max_steps: 450000
Testing max_steps: 45000

Train & Test Scripts
Download the Environment

Downloads last month

-

Downloads are not tracked for this model. How to track
Video Preview
loading

Evaluation results

  • Cumulative Reward on hivex-wildfire-resource-management
    self-reported
    417.6073974609375 +/- 190.19011561647912
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    72.88476066589355 +/- 36.648931872523086
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    37.18313026428223 +/- 17.18048840702159
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    1.0694182068109512 +/- 0.452972812288188
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    324.34189453125 +/- 153.73020446695705