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

Environment: Wildfire Resource Management
Task: 2
Difficulty: 1
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
    621.6318466186524 +/- 263.80346369019475
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    34.165497875213624 +/- 11.603925138407758
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    18.202730894088745 +/- 6.918594494920972
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    513.3224952697753 +/- 252.25941103189368
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.18221199735999108 +/- 0.07358971280652664