This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 2 with difficulty 6 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 2
Difficulty: 6
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
    707.3614288330078 +/- 335.7888292858085
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    46.07773056030273 +/- 20.3150259380589
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    23.419044303894044 +/- 10.303385574792685
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    633.7606079101563 +/- 325.21385108767254
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.18686668276786805 +/- 0.1232082937940605