moukle / reinforcement-learning

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Reinforcement Learning

Notebooks

The notebooks 1..4 under src follow this tutorial.

Content covered includes:

  • Environments
  • Training
  • Testing and evaluation
  • Callbacks, alternative algorithms, architectures

Missing:

  • Hyperparameters
  • Detailed custom environments (e.g. with PyGame)
  • Other simulation systems (e.g. Mujoco, Unity)
  • End-To-End implementation

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