Making Linear MDPs Practical via Contrastive Representation Learning

Tianjun Zhang, Tongzheng Ren, Mengjiao Yang +3

It is common to address the curse of dimensionality in Markov decision processes (MDPs) by exploiting low-rank representations. This motivates much of the recent theoretical study…