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

Environment: Wildfire Resource Management
Task: 2
Difficulty: 2
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
    719.8077911376953 +/- 176.60168760638808
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    49.83914451599121 +/- 17.927922628117184
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    26.82857608795166 +/- 10.644374836699683
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    670.3809020996093 +/- 354.66801295508003
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.3922588244080544 +/- 0.20202251712801628