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11/21/2021
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
We consider the offline reinforcement learning problem, where the aim is...
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10/07/2020
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective
In the classical multi-armed bandit problem, instance-dependent algorith...
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03/28/2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
We consider the general (stochastic) contextual bandit problem under the...
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11/04/2019
Network Revenue Management with Limited Switches: Known and Unknown Demand Distributions
This work is motivated by a practical concern from our retail partner. W...
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10/19/2019
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
This paper investigates the impact of pre-existing offline data on onlin...
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05/26/2019
