A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

Reinforcement Learning Short Course

High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).

CSE 571 Artificial Intelligence

Tabular methods for reinforcement learning

Solutions for the Projects of the Artificial Intelligence (CS 188) course of UC Berkeley

Implementation and visualization (some demos) of search and optimization algorithms.

Reinforcement Learning Algorithms in FrozenLake-v1

Using reinforcement learning to find the shortest paths.

a High-Performance Distributed Solver for Large-Scale Markov Decision Processes (MDP) relying on Inexact Policy Iteration; for Python and C++

Basic Reinforcement Learning algorithms

Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

Value & Policy Iteration for the frozenlake environment of OpenAI

♟️ Xiangqi-Engine with Self-Play Policy Iteration and Alpha-Beta-Search

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".

:robot: Implementation and short explanation of basic RL algorithms, reproducing the simulations from Andrej Kaparthy's REINFORCEjs library.

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

Least-Squares Policy Iteration

Value Iteration and Policy Iteration to solve MDPs

Model-Free Optimal Control Design Using Policy Iteration for LQR Problems - MATLAB

Computing an optimal Markov Decision Process (MDP) policy with Value Iteration and Policy Iteration

Jack's Car Rental problem and its variant as mentioned in Example 4.2 and Exercise 4.3 respectively of the book by Sutton and Barto (Reinforcement Learning: An Introduction, Second Edition)

Python implementation of common RL algorithms using OpenAI gym environments

Reinforcement Learning algorithms with nothing abstracted away

The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU

Policy Iteration for Continuous Dynamics