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This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 0 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 0
Difficulty: 8
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
    150.93561477661132 +/- 76.23284307650627
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    61.58133754730225 +/- 33.127614095127164
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    32.567462825775145 +/- 17.909844518650875
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    81.31805839538575 +/- 40.93007534940363
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.5046550706028938 +/- 0.5512559684915638