Reinforcement Learning-based Mobile Robot Navigation

We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.

A Fuzzy Q Learning Controler Implementation for Mobile Robot

course project: a simple implementation of Q learning and MPC

Implementation of various reinforcement learning algorithms in examples obtained from the book "Reinforcement Learning: An Introduction, by Sutton and Barto".

Reinforcement Learning- Watkins Q Learning(Eligibility Traces) for Maze Solving Agent

Q-Learing algorithm solves simple mazes.

Matlab implement for some basic RL methods

This is the repository of the Final Semester Undergraduation Project on Reinforcement Learning (Inverted Pendulum problem) done by Nikhil Podila and Savinay Nagendra. The project was performed under the guidance of Professor Koshy George at the Center of Intelligent Systems in PES Institute of Technology, Bangalore, India

Dynamic Q-Learning Based Feature Selection approach

Hanoi Tower implemented in MATLAB using Q-learning

General Computation

Reinforcement learning using 100% and 90% exploitation, Q-learning

Comparison of Value Iteration, Policy Iteration and Q-Learning for solving Decision-Making problems

Implementation of IQL Algorithm. Based on IQL by Konar et al. (2012).

Machine and Reinforcement Learning at Lunds University