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.

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

Solver and library for POSGs.

Basic reinforcement learning ai with flexible tictactoe board size.

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

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

Reinforcement learning used in the game of pong

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

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

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