2024
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
Anian Ruoss, Gregoire Deletang, Sourabh Medapati, Jordi Grau-Moya, Li Kevin Wenliang, Elliot Catt +4
NeurIPS 2024poster
This paper uses chess, a landmark planning problem in AI, to assess transformers’ performance on a planning task where memorization is futile — even at a large scale. To this end, we release ChessBench, a large-scale benchmark dataset of 10 million chess games with legal move and value annotations (…