Implementations of RL Algos and solved exercises for Sutton&Barto RLAI
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Updated
Aug 31, 2021 - Jupyter Notebook
Implementations of RL Algos and solved exercises for Sutton&Barto RLAI
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.
My solutions to Sutton and Barto's book 'Reinforcement Learning: An Introduction'
Reinforcement Learning Algorithms implemented based on pseudocode from Sutton and Barto
Reinforcement Learning Course from IPVS
Q-Learing algorithm solves simple mazes.
Reinforcement Learning
Code for the reading group on Sutton & Barto: Reinforcement Learning
This is a Python implementation of concepts and algorithms described in "Reinforcement Learning: An Introduction" (Sutton and Barto, 2018, 2nd edition).
Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
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