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This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 2 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 2
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
    957.9527984619141 +/- 552.1106666076138
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    58.90835800170898 +/- 29.141080333691164
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    32.591598701477054 +/- 18.37336995311841
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    848.1016296386719 +/- 473.59086332949374
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.46286826878786086 +/- 0.5511730499835104