Andrew Wagenmaker | DeepAI

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∙ 06/15/2023

Optimal Exploration for Model-Based RL in Nonlinear Systems

Learning to control unknown nonlinear dynamical systems is a fundamental...

0 Andrew Wagenmaker, et al. ∙

∙ 04/24/2023

Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory

We consider the development of adaptive, instance-dependent algorithms f...

0 Andrew Wagenmaker, et al. ∙

∙ 11/09/2022

Leveraging Offline Data in Online Reinforcement Learning

Two central paradigms have emerged in the reinforcement learning (RL) co...

0 Andrew Wagenmaker, et al. ∙

∙ 07/06/2022

Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design

While much progress has been made in understanding the minimax sample co...

0 Andrew Wagenmaker, et al. ∙

∙ 06/22/2022

Active Learning with Safety Constraints

Active learning methods have shown great promise in reducing the number ...

0 Romain Camilleri, et al. ∙

∙ 01/26/2022

Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes

Reward-free reinforcement learning (RL) considers the setting where the ...

0 Andrew Wagenmaker, et al. ∙

∙ 12/07/2021

First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach

Obtaining first-order regret bounds – regret bounds scaling not as the w...

0 Andrew Wagenmaker, et al. ∙

∙ 11/23/2021

Best Arm Identification with Safety Constraints

The best arm identification problem in the multi-armed bandit setting is...

0 Zhenlin Wang, et al. ∙

∙ 08/05/2021

Beyond No Regret: Instance-Dependent PAC Reinforcement Learning

The theory of reinforcement learning has focused on two fundamental prob...

0 Andrew Wagenmaker, et al. ∙

∙ 02/10/2021

Task-Optimal Exploration in Linear Dynamical Systems

Exploration in unknown environments is a fundamental problem in reinforc...

0 Andrew Wagenmaker, et al. ∙

∙ 11/01/2020

Experimental Design for Regret Minimization in Linear Bandits

In this paper we propose a novel experimental design-based algorithm to ...

0 Andrew Wagenmaker, et al. ∙

∙ 02/02/2020

Active Learning for Identification of Linear Dynamical Systems

We propose an algorithm to actively estimate the parameters of a linear ...

0 Andrew Wagenmaker, et al. ∙

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