Xuezhou Zhang

Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP

2023 · arXiv (Cornell University)

In this paper, we study representation learning in partially observable Markov Decision Processes (POMDPs), where the agent learns a decoder function that maps a series of high-dimensional raw observations to a compact representation and uses …