Articles by Andrew Wagenmaker | Synthical

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15

Active learning of neural population dynamics using two-photon holographic optogenetics

4 February 2025 by Andrew Wagenmaker and others

Neurons and Cognition, Machine Learning

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

18 December 2024 by Jifan Zhang and others

Machine Learning, Artificial Intelligence

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL

26 October 2024 by Andrew Wagenmaker and others

Machine Learning, Robotics

Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification

13 October 2024 by Haolin Liu and others

Machine Learning

ASID: Active Exploration for System Identification in Robotic Manipulation

27 June 2024 by Marius Memmel and others

Robotics, Machine Learning

Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning

11 June 2024 by Adhyyan Narang and others

Machine Learning, Artificial Intelligence

Fair Active Learning in Low-Data Regimes

13 December 2023 by Romain Camilleri and others

Machine Learning, Computers and Society

Leveraging Offline Data in Online Reinforcement Learning

20 July 2023 by Andrew Wagenmaker and Aldo Pacchiano

Machine Learning, Artificial Intelligence

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

20 July 2023 by Andrew Wagenmaker and Kevin Jamieson

Machine Learning

Optimal Exploration for Model-Based RL in Nonlinear Systems

15 June 2023 by Andrew Wagenmaker and others

Machine Learning, Robotics

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

24 April 2023 by Andrew Wagenmaker and Dylan Foster

Machine Learning

Active Learning with Safety Constraints

22 June 2022 by Romain Camilleri and others

Machine Learning

Beyond No Regret: Instance-Dependent PAC Reinforcement Learning

22 June 2022 by Andrew Wagenmaker and others

Machine Learning

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

18 June 2022 by Andrew Wagenmaker and others

Machine Learning

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

26 January 2022 by Andrew Wagenmaker and others

Machine Learning

Best Arm Identification with Safety Constraints

23 November 2021 by Zhenlin Wang and others

Machine Learning

Task-Optimal Exploration in Linear Dynamical Systems

9 July 2021 by Andrew Wagenmaker and others

Machine Learning, Optimization and Control

Experimental Design for Regret Minimization in Linear Bandits

27 February 2021 by Andrew Wagenmaker and others

Machine Learning

Active Learning for Identification of Linear Dynamical Systems

22 June 2020 by Andrew Wagenmaker and Kevin Jamieson

Machine Learning, Systems and Control

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Machine Learning Systems and Control Artificial Intelligence Robotics Optimization and Control Computers and Society