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

CSE 571 Artificial Intelligence

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

Tabular methods for reinforcement learning

Using reinforcement learning to find the shortest paths.

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

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

Reinforcement Learning Algorithms in a simple Gridworld

Value & Policy Iteration for the frozenlake environment of OpenAI

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

♟️ A combination of Reinforcement Learning and Alpha-Beta Search in Chinese chess

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".

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

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