This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 0 with difficulty 7 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 0
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
    115.5483470916748 +/- 33.54802987989145
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    44.748003768920896 +/- 10.01290846231668
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    24.67834577560425 +/- 6.925884463468533
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    64.52305927276612 +/- 22.579827069648683
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    1.243993028998375 +/- 0.9987439451375053