Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.

Implementation of RL Algorithms in Openai Gym Frozen-Lake Environment

Implementation of several algorithms in RL based on Prof. sutton's book

Jupyter notebooks implementing Reinforcement Learning algorithms in Numpy and Tensorflow

This repository contains two reinforcement learning projects: "Treasure Hunt in the Frozen Lake," which navigates a modified FrozenLake using dynamic programming, and "Optimizing Movie Recommendations," which employs Multi-Armed Bandits to enhance user satisfaction.

A web-based interactive Grid World environment for learning and visualizing reinforcement learning algorithms including policy evaluation, policy improvement, and value iteration. Built with Flask backend implementing RL algorithms and JavaScript frontend for grid visualization.

Fourth assignment for Machine Learning course @USI19/20.

Various reinforcement learning algorithms implemented on the frozen lake grid world.

Based on the book --- Reinforcement Learning: An Introduction (2nd ed, 2018) by Sutton and Barto. For the Reinforcement Learning course Assignment 2 (see Gridworld Problem 1.pdf) at Memorial University of Newfoundland, Jul. 18, 2024