A tic tac toe game in java, which can be trained by machine learning (console & gui).
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Updated
Jul 9, 2021 - Java
A tic tac toe game in java, which can be trained by machine learning (console & gui).
Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations.
FrozenLake - OpenAI's exercise resolved with Q-learning algorithm
Intention: should independently be able to demonstrate knowledge of the most basic methods within game AI field and able to reason around its historical development in relation to applications
A series of experiments on the performance of Q-Learning Agents in the Dots and Boxes game.
My personal implementation of the Q-Learning algorithm.
Implementation of Q-Learning reinforcement learning algorithm with Java programming language.
Contains exercises from Game AI CS6150 at Northeastern Univ, Boston (Spring 2017)
A Q Learning Model implemented in java used for MIT Battlecode 2023
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