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

• Updated Mar 15, 2019
• Jupyter Notebook

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

• Updated Nov 13, 2021
• Python

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

• Updated Sep 18, 2018
• Python

Reinforcement Learning Short Course

• Updated Aug 22, 2025
• Jupyter Notebook

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

• Updated Oct 8, 2025
• C++

CSE 571 Artificial Intelligence

• Updated Jan 3, 2018
• Python

Tabular methods for reinforcement learning

• Updated Jul 3, 2020
• Python

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

• Updated Nov 30, 2021
• Python

Using reinforcement learning to find the shortest paths.

• Updated Jun 5, 2019
• Python

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

• Updated Apr 7, 2025
• C++

Reinforcement Learning Algorithms in FrozenLake-v1

• Updated Feb 4, 2025
• Jupyter Notebook

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

• Updated Oct 15, 2025
• Python

Basic Reinforcement Learning algorithms

• Updated Jun 6, 2019
• Jupyter Notebook

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

• Updated May 21, 2018
• Python

Value & Policy Iteration for the frozenlake environment of OpenAI

• Updated May 14, 2019
• Python

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

• Updated Jul 31, 2023
• Python

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

• Updated Sep 22, 2025
• Java

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

• Updated Nov 2, 2021
• MATLAB

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.

• Updated Apr 3, 2019
• Jupyter Notebook

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

• Updated Mar 1, 2023
• Python