Profilok

Thore Graepel

Global Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning …

E-mail megerősítve itt: ucl.ac.uk

Idézetek száma: 71391

Machine Learning Reinforcement Learning Deep Learning Multi-Agent Learning Computational Biology

Jun Wang

Professor, Computer Science, University College London

E-mail megerősítve itt: cs.ucl.ac.uk

Idézetek száma: 26327

Machine Learning Multi-agent Learning Information Retrieval Recommender Systems Computational Advertising

Gerald Tesauro

IBM Research

E-mail megerősítve itt: us.ibm.com

Idézetek száma: 19660

Machine Learning Reinforcement Learning Multi-Agent Learning

Michael A. Goodrich

Computer Science Department, Brigham Young University

E-mail megerősítve itt: cs.byu.edu

Idézetek száma: 14207

Human-robot interaction multi-agent learning artificial intelligence human machine interaction

Yi Wu

Institute for Interdisciplinary Information Sciences, Tsinghua University

E-mail megerősítve itt: mail.tsinghua.edu.cn

Idézetek száma: 12742

Reinforcement Learning Human-AI Interaction Multi-Agent Learning Robot Learning

Andrea Tacchetti

Google DeepMind

E-mail megerősítve itt: google.com

Idézetek száma: 11670

Artificial Intelligence Multi-agent Learning Statistical Learning Computer Vision

Mikayel Samvelyan

Google DeepMind

E-mail megerősítve itt: google.com

Idézetek száma: 8789

Artificial Intelligence Reinforcement Learning Open-Endedness Multi-Agent Learning

Yaodong Yang

BOYA (博雅) Assistant Professor at Peking University

E-mail megerősítve itt: pku.edu.cn

Idézetek száma: 8370

Reinforcement Learning AI Alignment Embodied AI Multi-Agent Learning

Zhuosheng Zhang

Assistant Professor at Shanghai Jiao Tong University

E-mail megerősítve itt: sjtu.edu.cn

Idézetek száma: 6376

Natural Language Processing Large Language Models Reasoning AI Alignment Multi-Agent Learning

Christian Schroeder de Witt

University of Oxford

E-mail megerősítve itt: robots.ox.ac.uk

Idézetek száma: 5886

Multi-agent Learning Security Safety

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