We explore some strategies which tend to perform well in the IPD.We start off by showing the significance of Tit-For-Tat strategies inevolutionary game theory. This is followed by a theoretical derivationof zero-determinant strategies, where we highlight an error on boundsfor scale parameters from the original paper on ZD strategies[6]. Wethen present examples of such strategies and create a custom playerdrawing inspiration from Markov Decision Processes. At the end wepit them all against each other and see how they perform in an IPDtournament.
翻译:我们探索一些在IPD中表现良好的策略。 我们首先展示Tit- For-Tat战略在进化游戏理论中的重要性。 之后是零决定性策略的理论衍生, 我们在此强调ZD战略原始文件在比例参数界限上的错误[6]。 然后我们展示这些策略的例子, 并从Markov 决策过程中创造自定义的播放器灵感。 最终, 我们让这些策略相互对立, 并观察它们在 IPDTournament 中的表现 。