self-studying the Sutton & Barto the hard way
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Updated
Nov 27, 2021 - Python
self-studying the Sutton & Barto the hard way
Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
Solutions to Sutton and Barto book exercises
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
Python implementation of RL algorithms presented in Richard Sutton and Andrew Barto's book Reinforcement Learning: An Introduction (second edtion)
A summary of important concepts and algorithms in RL
Reinforcement Learning (Sutton, Barto) - solved exercises
⚡️ Code and Notes 📝 for Grokking Deep RL and RL: An Introduction by Sutton & Barto(2nd edition, 2018) 🤘
Reinforcement Learning Algorithms in a simple Gridworld
Implementations of RL Algos and solved exercises for Sutton&Barto RLAI
🧠 Implementation of various Reinforcement Learning algorithms.
This repo consists of all the Python notebooks that are part of the Coursera specialization for Reinforcement Learning.
My take on some problems from "Reinforcement Learning: An Introduction" by Sutton & Barto
Some python implementations from the book, "Reinforcement Learning: An Introduction" by Andrew Barto and Richard S. Sutton.
Own implementation of the Q-learning algorithm presented on the example of the "treasure hunter" game.
My own codes for exercises of the book by Sutton and Barto
Classic RL control algorithm implementations found in Sutton and Barto book.
self-studying the Sutton & Barto the hard way
Recreation of the classic video-game "The Snake" into a 3D scenario. Implemented with Monte Carlo ES algorithm.
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