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This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 2 with difficulty 4 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 2
Difficulty: 4
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
    1093.1187683105468 +/- 578.7491242760859
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    71.27123718261718 +/- 32.09683856042925
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    35.614274978637695 +/- 15.634065158512929
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    914.6083679199219 +/- 397.64001336221355
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.5484737113118172 +/- 0.339556676622338