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This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 1 with difficulty 9 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 1
Difficulty: 9
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
    256.54253845214845 +/- 82.7350530070222
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    43.02604579925537 +/- 13.287361543787155
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    23.407614994049073 +/- 7.450801825115115
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    1.6655276775360108 +/- 0.5314602326491544
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    197.1991439819336 +/- 65.86970427316282