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This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 2 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 2
Difficulty: 3
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
    847.854150390625 +/- 435.0499360739894
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    56.47811775207519 +/- 24.134183224321095
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    29.25127182006836 +/- 12.721708037101477
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    744.5827880859375 +/- 449.5107633042511
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.1304140117019415 +/- 0.04689085615979681