This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 2 with difficulty 7 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 2
Difficulty: 7
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
    750.4762359619141 +/- 245.4927763167413
  • Collective Performance on hivex-wildfire-resource-management
    self-reported
    43.217044830322266 +/- 9.4702714296557
  • Individual Performance on hivex-wildfire-resource-management
    self-reported
    24.37738256454468 +/- 6.694391210034398
  • Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
    self-reported
    677.9591644287109 +/- 226.85774971204782
  • Reward for Moving Resources to Self on hivex-wildfire-resource-management
    self-reported
    0.2308821089565754 +/- 0.09874207898979517