[INSA-5TC] Artificial Intelligence Project - robot cleaner problem using linear Monte Carlo and Q-Learning
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Updated
Oct 27, 2017 - C++
[INSA-5TC] Artificial Intelligence Project - robot cleaner problem using linear Monte Carlo and Q-Learning
This software package performs q learning on a damaged(handicaped) magni robot so as to make it follow the trajectory with least deviation
Use SARSA, Q learning, double Q and QV to solve a maze with Reinforcement Learning
Tabular Q learning to demonstrate sample OpenAI taxi V2 implementation in C++
A reinforcement learning framework for the game of Nim.
Demo source for finding shortest path in undirected graph using Q-learning
Basic reinforcement learning ai with flexible tictactoe board size.
Some few basic reiforcement learning examples
Investigating Q-Learning and DQN variants for Traffic Signal Control problem
Reinforcement learning used in the game of pong
Interactive Q-learning visual simulation with Cpp and Unreal Engine 4.
Welcome to AI-GameOptimization, 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.
A Q-Learning implementation in C++, ready to be tweaked and modified to new projects
Solving Flappy Bird with RL.
Implementation of a Q-Learning agent that utilizes Opponent Modeling Algorithm
In this project, a Ludo player based on Reinforced learning is implemented.
Q-learning applied to a simplified Tetris game
A new version of my mancala AI project, rebuilt from the ground up in C++ utilizing object oriented design principles.
A demonstration of q-learning with C++, SFML and an easy maze.
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