Shachar Lovett

Towards a combinatorial characterization of bounded memory learning

2020 · arXiv (Cornell University)

Combinatorial dimensions play an important role in the theory of machine learning. For example, VC dimension characterizes PAC learning, SQ dimension characterizes weak learning with statistical queries, and Littlestone dimension characterizes online learning. In this …

Computational-Statistical Gaps in Reinforcement Learning

2022 · arXiv (Cornell University)

Reinforcement learning with function approximation has recently achieved tremendous results in applications with large state spaces. This empirical success has motivated a growing body of theoretical work proposing necessary and sufficient conditions under which efficient …