activity
20032026
most citedThompson Sampling for Contextual Bandits with Linear Payoffs

518 citations · 1.2k across the 27 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.DM2019

On optimal ordering in the optimal stopping problem

Shipra Agrawal, Jay Sethuraman, Xingyu Zhang

In the classical optimal stopping problem, a player is given a sequence of random variables with known distributions. After observing the realization of , the…

cs.GT2019

Dynamic First Price Auctions Robust to Heterogeneous Buyers

Shipra Agrawal, Eric Balkanski, Vahab Mirrokni +1

We study dynamic mechanisms for optimizing revenue in repeated auctions, that are robust to heterogeneous forward-looking and learning behavior of the buyers. Typically it is assum…

cs.LG2019★ 73 cited

Reinforcement Learning for Integer Programming: Learning to Cut

Yunhao Tang, Shipra Agrawal, Yuri Faenza

Integer programming (IP) is a general optimization framework widely applicable to a variety of unstructured and structured problems arising in, e.g., scheduling, production plannin…

cs.LG2019★ 3 cited

Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management

Shipra Agrawal, Randy Jia

We consider a stochastic inventory control problem under censored demands, lost sales, and positive lead times. This is a fundamental problem in inventory management, with signific…

cs.LG2019★ 14 cited

Discretizing Continuous Action Space for On-Policy Optimization

Yunhao Tang, Shipra Agrawal

In this work, we show that discretizing action space for continuous control is a simple yet powerful technique for on-policy optimization. The explosion in the number of discrete a…