33 citations · 185 across the 30 of their papers we have counts for
4 papers · 1 filter
Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach
N. Bora Keskin, David Simchi-Levi, Prem Talwai
We consider a seller offering a large network of products over a time horizon of periods. The seller does not know the parameters of the products' linear demand model, and…
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
Dylan J. Foster, Akshay Krishnamurthy, David Simchi-Levi +1
We consider the offline reinforcement learning problem, where the aim is to learn a decision making policy from logged data. Offline RL -- particularly when coupled with (value) fu…
Offline Planning and Online Learning under Recovering Rewards
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Motivated by emerging applications such as live-streaming e-commerce, promotions and recommendations, we introduce and solve a general class of non-stationary multi-armed bandit pr…
Sobolev Norm Learning Rates for Conditional Mean Embeddings
Prem Talwai, Ali Shameli, David Simchi-Levi
We develop novel learning rates for conditional mean embeddings by applying the theory of interpolation for reproducing kernel Hilbert spaces (RKHS). We derive explicit, adaptive c…