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This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 2 with difficulty 10 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 2
Difficulty: 10
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
    648.8572601318359 +/- 171.5485324795659
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    47.06214599609375 +/- 14.578664572673013
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    23.570611190795898 +/- 8.18325361816058
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    581.2440307617187 +/- 273.2771173861813
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.45852461010217666 +/- 0.18810061226083963