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

Custom environments for K-Armed Bandit built using OpenAI's Gym

Exercises coded from the 2nd edition of Introduction to Reinforcement Learning by Richard Sutton and Andrew Barto.

From-scratch machine learning models with implementation tutorials.

K-armed bandit problem approached with a variety of action-selection learning algorithms.

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.