AIpowered Quantum Chess With Reinforcement Learning: Is

作者：禅与计算机程序设计艺术

1.简介

Quantum chess is one of the most exciting and promising topics in computer science today. We may think that quantum mechanics will revolutionize our understanding of nature but it hasn’t happened yet. The field of quantum chess is still very young and researchers are trying to develop new algorithms and techniques for playing this game on a quantum level. However, using reinforcement learning (RL) can help us learn how to play better by optimizing our strategies. In this blog post we will discuss about quantum chess with RL and showcase some examples of how we can use RL to train an agent to beat classic chess games at different levels.

2.背景介绍

In classical chess, two players take turns moving their pieces on a square board until either one player wins or there are no more legal moves left. A move is considered legal if it does not put own king into check or put opponent’s king into danger. I