论文标题
Connectx的强化学习
Reinforcement Learning for ConnectX
论文作者
论文摘要
ConnectX是一款两人游戏，它概括了流行的游戏Connect 4。目的是将X硬币连续，列，列或对角线的M X N板。第一个这样做的球员赢得了比赛。允许参数（M，N，X）在每个游戏中更改，从而使ConnectX成为一个新颖而挑战性的问题。在本文中，我们介绍了有关播放ConnectX的各种强化学习算法的实施和修改的工作。
ConnectX is a two-player game that generalizes the popular game Connect 4. The objective is to get X coins across a row, column, or diagonal of an M x N board. The first player to do so wins the game. The parameters (M, N, X) are allowed to change in each game, making ConnectX a novel and challenging problem. In this paper, we present our work on the implementation and modification of various reinforcement learning algorithms to play ConnectX.
