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Reinforcement Learning with Gymnasium in Python

Fouad Trad

Machine Learning Engineer

Chapter 1

 

Introduction to reinforcement learning
  • Fundamentals of RL
  • RL framework
  • Gymnasium

  Image showing that the environment provides the agent with observations, then the agent performs actions, and receives rewards or penalties based on these actions.

Reinforcement Learning with Gymnasium in Python

Chapter 2

modelfree.png

Model-based learning
  • Markove Decision Process
  • Policies, value functions
  • Policy iteration, value iteration
Reinforcement Learning with Gymnasium in Python

Chapter 3

Model-Free Learning
  • Monte Carlo methods
  • Temporal difference learning
    • SARSA
    • Q-learning

Image of a robot interacting with a chess environment.

Reinforcement Learning with Gymnasium in Python

Chapter 4

lastchapter.png

Advanced strategies in model-free RL
  • Expected SARSA
  • Double Q-learning
  • Exploration-exploitation
  • Multi-armed bandits
Reinforcement Learning with Gymnasium in Python

Next steps

  • Dive into advanced RL topics
  • Deep RL
  • Exploring more complex environments
  • Creating your own environments

nextstep.png

Reinforcement Learning with Gymnasium in Python

Congratulations!

Reinforcement Learning with Gymnasium in Python

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