卡内基梅隆团队用 8000 美元的 AI 击败了 Stratego 最强玩家
卡内基梅隆、纽约大学、斯坦福大学和麻省理工学院的团队构建了一个 AI，击败了最好的 Stratego 玩家 Pim Niemeijer，训练成本仅为 8000 美元。这显示了在不完全信息游戏中 AI 的显著改进。
a team from carnegie mellon university, new york university, stanford university, and mit has developed ataraxos, an ai that has decisively beaten pim niemeijer, widely regarded as the best stratego player of all time, in a 20-game series with 15 wins, one loss, and four draws. niemeijer has won four world championships, 15 dutch national titles, and two online world championships. the ataraxos ai was trained with a budget of less than $8,000, which is significantly less than deepmind's reported $3 million to $4.5 million investment in its deepnash system that failed to surpass top human players. ataraxos learned through self-play without human data, utilizing a custom gpu simulator and high sample efficiency. the ai's success is attributed to a regularization technique that forces it to vary its play and avoid getting stuck in a fixed strategy.