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hivex-WFC-PPO-baseline-task-0-pattern-2

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-wind-farm-control
multi-agent-reinforcement-learning
Eval Results
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This model serves as the baseline for the Wind Farm Control environment, trained and tested on task 0 with pattern 2 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wind Farm Control
Task: 0
Pattern: 2
Algorithm: PPO
Episode Length: 5000
Training max_steps: 8000000
Testing max_steps: 8000000

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Evaluation results

  • Cumulative Reward on hivex-wind-farm-control
    self-reported
    4591.301657714844 +/- 45.36518564904124
  • Individual Performance on hivex-wind-farm-control
    self-reported
    4591.0513525390625 +/- 46.63217206689972
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