Radix Learning Paths Resources Professions
Sign in

Reinforcement Learning

Reinforcement Learning

Get more information

  • Markov Decision Process

    Mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker; the discrete stochastic version of the optimal control problem

       

  • Learn more basics

    »

  • Reinforcement Learning Lectures

    Elementary Reinforcement Learning and Reinforcement Learning in Practice

    Slides, videos

    University College London

    David Silver   

  • »

  • Reinforcement Learning: An Introduction Non-fictional

    provide a clear and simple account of the key ideas and algorithms of reinforcement learning

    Richard S. Sutton  Andrew G. Barto  

  • Apply learned concepts

  • Gym Library

    Open source interface to reinforcement learning tasks, different environments

    Documentation, Github

    OpenAI

       

  • Get more in-depth infos on

    »

  • Hidden Markov Models Model

    Statistical Markov model in which the system being modeled is assumed to be a Markov process with hidden states.

       

  • »

  • Q-learning

    a model-free reinforcement learning algorithm; to learn a policy, which tells an agent what action to take under what circumstances

       

  • »

  • Markov Chain Monte Carlo Method

    methods comprise a class of algorithms for sampling from a probability distribution.

       

  • Learn new concepts

    »

  • Reinforcement Learning State-of-the-Art Non-fictional

    present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning

    Marco Wiering Martijn van Otterlo  

  • »

  • Algorithms for Reinforcement Learning

    Mathematical emphasis on RL

    Csaba Szepesv´ari   

  • Now, choose a specialization:

    ↓ Deep Reinforcement Learning
  • Education

    University

    Reinforcement Learning Lectures

    Elementary Reinforcement Learning and Reinforcement Learning in Practice

    Slides, videos

    University College London

    David Silver   


  • Information

    Scientific Literature

    Hidden Markov Models Model

    Statistical Markov model in which the system being modeled is assumed to be a Markov process with hidden states.

       

    Natural Language Processing



  • Next level

  • Information

    Wikipedia

    Markov Decision Process

    Mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker; the discrete stochastic version of the optimal control problem

       


  • Education

    Literature

    Reinforcement Learning State-of-the-Art Non-fictional

    present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning

    Marco Wiering Martijn van Otterlo  


  • Education

    Literature

    Reinforcement Learning: An Introduction Non-fictional

    provide a clear and simple account of the key ideas and algorithms of reinforcement learning

    Richard S. Sutton  Andrew G. Barto  



  • Next level

  • Information

    Wikipedia

    Q-learning

    a model-free reinforcement learning algorithm; to learn a policy, which tells an agent what action to take under what circumstances

       


  • Application

    Software

    Gym Library

    Open source interface to reinforcement learning tasks, different environments

    Documentation, Github

    OpenAI

       


  • Information

    Wikipedia

    Markov Chain Monte Carlo Method

    methods comprise a class of algorithms for sampling from a probability distribution.

       



  • Next level

  • Education

    Literature

    Algorithms for Reinforcement Learning

    Mathematical emphasis on RL

    Csaba Szepesv´ari   


  • Gym Library

    Open source interface to reinforcement learning tasks, different environments

    Upvote

  • Reinforcement Learning Lectures

    Elementary Reinforcement Learning and Reinforcement Learning in Practice

    Upvote

  • Reinforcement Learning State-of-the-Art Non-fictional

    present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning

    Upvote

  • Reinforcement Learning: An Introduction Non-fictional

    provide a clear and simple account of the key ideas and algorithms of reinforcement learning

    Upvote

  • Algorithms for Reinforcement Learning

    Mathematical emphasis on RL

    Upvote

  • Hidden Markov Models Model

    Statistical Markov model in which the system being modeled is assumed to be a Markov process with hidden states.

    Upvote

  • Information
  • Hidden Markov Models Scientific Literature

    Statistical Markov model in which the system being modeled is assumed to be a Markov process with hidden states.

    Upvote

  • Markov Decision Process Wikipedia

    Mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker; the discrete stochastic version of the optimal control problem

    Upvote

  • Q-learning Wikipedia

    a model-free reinforcement learning algorithm; to learn a policy, which tells an agent what action to take under what circumstances

    Upvote

  • Markov Chain Monte Carlo Wikipedia

    methods comprise a class of algorithms for sampling from a probability distribution.

    Upvote

  • Application
  • Gym Podcast

    Open source interface to reinforcement learning tasks, different environments

    Upvote

  • Education
  • Reinforcement Learning

    Elementary Reinforcement Learning and Reinforcement Learning in Practice

    Upvote

  • Reinforcement Learning State-of-the-Art

    present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning

    Upvote

  • Reinforcement Learning: An Introduction

    provide a clear and simple account of the key ideas and algorithms of reinforcement learning

    Upvote

  • Algorithms for Reinforcement Learning

    Mathematical emphasis on RL

    Upvote

  • Add your content 0 0 0

    Become the curator for
    Reinforcement Learning