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

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

From-scratch machine learning models with implementation tutorials.

Looking at the 10-arm bandit problem using epsilon-greedy, UCB, and learning automata for action selection.

Web visualisation of the k-armed bandit problem