This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 1 with difficulty 7 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 1
Difficulty: 7
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
    284.57982330322267 +/- 72.33360798945996
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    49.88518104553223 +/- 12.763755244283319
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    26.185771179199218 +/- 6.931004503131118
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    1.4022221326828004 +/- 0.2644409904563528
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    224.42632904052735 +/- 61.38166216366554