This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 1 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 1
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
    355.44918060302734 +/- 174.7116155809256
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    60.788882446289065 +/- 27.499079077539847
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    32.571975231170654 +/- 15.25373718413003
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    1.6818679869174957 +/- 1.4253886392289061
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    280.6448547363281 +/- 131.94279504724986