Hugging Face's logo

hivex-research
/
hivex-WFC-PPO-baseline-task-0-pattern-4

Reinforcement Learning
TensorBoard
ONNX
hivex
hivex-wind-farm-control
multi-agent-reinforcement-learning
Eval Results
Model card Files Metrics Community

This model serves as the baseline for the Wind Farm Control environment, trained and tested on task 0 with pattern 4 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wind Farm Control
Task: 0
Pattern: 4
Algorithm: PPO
Episode Length: 5000
Training max_steps: 8000000
Testing max_steps: 8000000

Train & Test Scripts
Download the Environment

Downloads last month

-

Downloads are not tracked for this model. How to track
Video Preview
Reinforcement Learning
loading

Collection including hivex-research/hivex-WFC-PPO-baseline-task-0-pattern-4

Evaluation results

  • Cumulative Reward on hivex-wind-farm-control
    self-reported
    4613.436940917969 +/- 38.26933135242948
  • Individual Performance on hivex-wind-farm-control
    self-reported
    4613.370803222656 +/- 38.736289986043545
View on Papers With Code