rotative
the decoder · October 1, 2026

Carnegie Mellon team beats Stratego's greatest player with $8k AI

a team from carnegie mellon, nyu, stanford, and mit built an ai that beats the best stratego player, pim niemeijer, with just $8,000 training cost. this shows significant improvement in ai for imperfect information games.

read in 简体中文 · 繁體中文

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.

read at source ↗

← rotative