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

A Reinforcement Learning Library for C++11/14

A C++ and Opengl based game to draw a window leading to snake which runs on neural network to reach it's food within certain iteration for AI along with Keyboard press to move the Snake quads. Youtube:

Tabular Q learning to demonstrate sample OpenAI taxi V2 implementation in C++

This is a ROS package designed to implement Q-learning algorithm for the autonomous navigation of unmanned aerial vehicles (UAVs) in search-and-rescue (SaR) operations. It can also be used to train other reinforcement learning algorithms on UAVs. A PID algorithm is employed for position control.

A reinforcement learning framework for the game of Nim.

🕹️ Welcome to Game-Optimization, a repository dedicated to exploring and implementing various optimization algorithms to solve complex games. This project initially focuses on solving the classic game Sokoban using the Q-learning algorithm, with plans to extend to genetic algorithms and other optimization techniques in the future.

Implementation of an Artificial Intelligence for playing Pacman with Reinforcement Learning

Investigating Q-Learning and DQN variants for Traffic Signal Control problem

In the Pick-up and Drop-off (PD) World, our goal is to design a route from the agent so that it could use the least steps to send all the blocks to drop-off cells. To solve reinforcement learning problems, we use a statistical approach and dynamic programming, especially Q-learning, to estimate the utility of taking actions in the states of the …

Code for simulations in IEEE TNSE article "To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing" by L. Ballotta, G. Peserico, F. Zanini, and P. Dini.

This software package performs q learning on a damaged(handicaped) magni robot so as to make it follow the trajectory with least deviation

Demo source for finding shortest path in undirected graph using Q-learning

Interactive Q-learning visual simulation with Cpp and Unreal Engine 4.

Solver and library for POSGs.

Basic reinforcement learning ai with flexible tictactoe board size.

Reinforcement learning used in the game of pong

A Q-Learning implementation in C++, ready to be tweaked and modified to new projects

Use SARSA, Q learning, double Q and QV to solve a maze with Reinforcement Learning

[INSA-5TC] Artificial Intelligence Project - robot cleaner problem using linear Monte Carlo and Q-Learning