This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 1 with difficulty 2 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 1
Difficulty: 2
Algorithm: PPO
Episode Length: 500
Training max_steps: 450000
Testing max_steps: 45000

Train & Test Scripts
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Evaluation results

  • Cumulative Reward on hivex-wildfire-resource-management
    self-reported
    274.1446533203125 +/- 64.14741483958754
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    47.04243335723877 +/- 13.647734597375532
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    25.11213264465332 +/- 7.222221709728652
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    1.1445139467716217 +/- 0.3653539966236824
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    215.85740509033204 +/- 65.10330940872429