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#

reinforcement-learning-tutorials

Here are 14 public repositories matching this topic...

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

  • UpdatedFeb 12, 2020
  • Jupyter Notebook

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

  • UpdatedMar 23, 2022

A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.

  • UpdatedJul 13, 2020
  • Jupyter Notebook

Reinforcement Learning, Tutorials in Chinese

  • UpdatedJun 9, 2018
  • Jupyter Notebook
Curated-Reinforcement-Learning-Resources

Reinforcement learning is a machine learning technique where agents learn to make optimal decisions by maximizing reward signals through interactions with environment. This repository provides a curated list of resources for learning reinforcement learning, including courses, & tutorials from various providers.

  • UpdatedJun 17, 2023

A list of Reinforcement learning materials I have come across

  • UpdatedDec 20, 2018

Tabular Q learning to demonstrate sample OpenAI taxi V2 implementation in C++

  • UpdatedMay 29, 2023
  • C++

🦄 RL-Unicorn is a suite of RL algorithms made to run in a plug-and-play fashion. It also includes introductions to many topics in RL, notes of online RL MOOCs and a hand-written topic-wise guide.

  • UpdatedJun 8, 2022
  • Jupyter Notebook

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