🧠 Implementation of various Reinforcement Learning algorithms.
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Updated
Sep 27, 2022 - Python
🧠 Implementation of various Reinforcement Learning algorithms.
Implementations of RL Algos and solved exercises for Sutton&Barto RLAI
This repo consists of all the Python notebooks that are part of the Coursera specialization for Reinforcement Learning.
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 take on some problems from "Reinforcement Learning: An Introduction" by Sutton & Barto
My own codes for exercises of the book by Sutton and Barto
Classic RL control algorithm implementations found in Sutton and Barto book.
Windy Grid World solution from sutton and bartos book.
self-studying the Sutton & Barto the hard way
Train an AI to drive on a simple racetrack, by using reinforcement learning with Q-Learning and Monte Carlo. Inspired by Sutton and Barto's book.
Implementation of Important Algorithms in PyTorch from "Reinforcement Learning an Introduction" by Sutton and Barto
Recreation of the classic video-game "The Snake" into a 3D scenario. Implemented with Monte Carlo ES algorithm.
Not A Replication of Sutton
implementations of RL algorithms from Sutton's textbook and various papers
simple cliff walk implementation
reinforcement learning algorithms, models and experiments
A summary of important concepts and algorithms in RL
Python implementation of RL algorithms presented in Richard Sutton and Andrew Barto's book Reinforcement Learning: An Introduction (second edtion)
Reinforcement Learning (Sutton, Barto) - solved exercises
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