Work

A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation

Year: 2024

Type: conference-paper

Source: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI: 10.1109/iros58592.2024.10802067

Authors: Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schroepfer, Seth Hutchinson, Cedric Pradalier

Institutions: Georgia Institute of Technology, University of Luxembourg, Centre National de la Recherche Scientifique, Georgia Tech-CNRS Laboratory

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Agence Nationale de la Recherche

Award: Robust reinforcement-learning for real-world autonomous multitask agents

OpenAlex ID: W4405779054

FWCI: 1.468

Cites: 25

Cited by: 5

Related to: 10