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This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 1 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 1
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
    294.2457504272461 +/- 90.21479915391255
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    54.29261703491211 +/- 21.984864368274526
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    28.278907203674315 +/- 9.58957969827206
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    2.562152373790741 +/- 1.0673747521727917
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    235.63738784790038 +/- 85.44225993334209