Reinforcement learning

Repository dedicated to host reinforcement learning examples, exercices, experiments, tests and ideas.

• Intro to OpenAI Gym and how to display animations

• Multi-armed bandit RL

• Dynamic Programming:

  • Udacity RL Dynamic Programming projects

• Monte Carlo Methods

• Temporal Difference Learning

  • Q-learning with bins(discretized continous space) using CartPole

    Untrained	Trained

• n-step bootstraping

  • n-step bootstrapping with RBF features and function approximation using CartPole

    Untrained	Trained	Cost to Go

• TD Lambda

• Value Based Function Approximation

  • Q Network with Radial Basis Functions with Car Mountain

    Untrained	Trained	Cost to Go

• Policy Based Methods

• Model based and planning

• Multi Agent RL

• Q-Table learning RL using OpenAI environment