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Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning Using Passive Langevin Dynamics

Year: 2025

Type: article

Source: IEEE Transactions on Information Theory

DOI: 10.1109/tit.2025.3555479

Authors: Luke Snow, Vikram Krishnamurthy

Institution: Cornell University

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Air Force Office of Scientific Research, Army Research Office

Awards: G1589928128, CIF: Small: Statistical Signal Processing of Social Networks with Behavioral Economics Constraints, CIF: Small: Inverse Reinforcement Learning for Cognitive Sensing, G7817105267

OpenAlex ID: W6884602891

FWCI: 0.411

Cites: 40

Cited by: 1

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