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This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 1 with difficulty 6 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 1
Difficulty: 6
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
    258.2725601196289 +/- 98.13659384326716
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    45.91880645751953 +/- 18.302557856348788
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    24.243414211273194 +/- 9.523378885568981
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    1.030250072479248 +/- 0.2913765344241285
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    207.9915672302246 +/- 86.63382909716428