Chapter wise implementation & analysis of all the algorithms in RL : An Intoduction by Richard S. Sutton and Andrew G. Barto
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Updated
Jul 18, 2020 - Jupyter Notebook
Chapter wise implementation & analysis of all the algorithms in RL : An Intoduction by Richard S. Sutton and Andrew G. Barto
Implementation of several algorithms in RL based on Prof. sutton's book
General stuff about reinforcement learning
Exercises coded from the 2nd edition of Introduction to Reinforcement Learning by Richard Sutton and Andrew Barto.
Custom environments for K-Armed Bandit built using OpenAI's Gym
Web visualisation of the k-armed bandit problem
Looking at the 10-arm bandit problem using epsilon-greedy, UCB, and learning automata for action selection.
From-scratch machine learning models with implementation tutorials.
K-armed bandit problem approached with a variety of action-selection learning algorithms.
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