Bei Peng

Citado por

	Total	Desde 2019
Citas	2528	2348
Índice h	16	15
Índice i10	19	17

680

340

170

510

201520162017201820192020202120222023202416 34 43 77 56 137 314 516 639 675

Acceso público

Ver todo

16 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Matthew E. TaylorProfessor, University of AlbertaDirección de correo verificada de ualberta.ca
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoDirección de correo verificada de cs.ox.ac.uk
David L. RobertsAssociate Professor, Assistant Director Undergraduate Programs, Interim Director Digital GamesDirección de correo verificada de csc.ncsu.edu
Michael LittmanBrown UniversityDirección de correo verificada de brown.edu
Robert LoftinLecturer, University of SheffieldDirección de correo verificada de sheffield.ac.uk
James MacGlashanSony AIDirección de correo verificada de sony.com
Wendelin BöhmerSequential Decision Making Group, Delft University of TechnologyDirección de correo verificada de tudelft.nl
Tabish RashidMicrosoft ResearchDirección de correo verificada de microsoft.com
Christian Schroeder de WittUniversity of OxfordDirección de correo verificada de robots.ox.ac.uk
Tarun GuptaUniversity of Oxford, Google Waymo ResearchDirección de correo verificada de google.com
Jeff HuangBrown UniversityDirección de correo verificada de jeffhuang.com
Philip TorrProfessor, University of OxfordDirección de correo verificada de eng.ox.ac.uk
Anuj MahajanAppleDirección de correo verificada de cs.ox.ac.uk
Sanmit NarvekarResearch Scientist, WaymoDirección de correo verificada de cs.utexas.edu
Peter StoneProfessor of Computer Science, The University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Jivko SinapovAssistant Professor, Tufts UniversityDirección de correo verificada de cs.tufts.edu
Matteo LeonettiDepartment of Informatics, King's College LondonDirección de correo verificada de kcl.ac.uk
Gregory FarquharDeepMindDirección de correo verificada de google.com
Tonghan WangEcon CS group, Harvard UniversityDirección de correo verificada de g.harvard.edu
Shariq IqbalResearch Scientist, DeepmindDirección de correo verificada de deepmind.com

Seguir

Bei Peng

Lecturer (Assistant Professor), University of Liverpool

Dirección de correo verificada de liverpool.ac.uk - Página principal

Machine Learning Reinforcement Learning Interactive Learning Multi-Agent Systems Curriculum Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey S Narvekar, B Peng, M Leonetti, J Sinapov, ME Taylor, P Stone Journal of Machine Learning Research (JMLR 2020) 21, 1-50, 2020	580	2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation T Rashid, G Farquhar, B Peng, S Whiteson Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), 2020	377*	2020
Interactive learning from policy-dependent human feedback J MacGlashan, MK Ho, R Loftin, B Peng, G Wang, DL Roberts, ME Taylor, ... 34th International Conference on Machine Learning (ICML 2017), 2285-2294, 2017	361	2017
FACMAC: Factored Multi-Agent Centralised Policy Gradients B Peng, T Rashid, CAS de Witt, PA Kamienny, PHS Torr, W Böhmer, ... 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021	236	2021
RODE: Learning Roles to Decompose Multi-Agent Tasks T Wang, T Gupta, A Mahajan, B Peng, S Whiteson, C Zhang International Conference on Learning Representations (ICLR 2021), 2020	223	2020
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning R Loftin, B Peng, J MacGlashan, ML Littman, ME Taylor, J Huang, ... Autonomous agents and multi-agent systems (JAAMAS 2016) 30 (1), 30-59, 2016	132	2016
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control CS de Witt, B Peng (equal contribution), PA Kamienny, P Torr, W Böhmer, ... arXiv preprint arXiv:2003.06709, 2020	93	2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning S Iqbal, CAS de Witt, B Peng, W Böhmer, S Whiteson, F Sha 38th International Conference on Machine Learning (ICML 2021), 2021	84*	2021
A strategy-aware technique for learning behaviors from discrete human feedback RT Loftin, J MacGlashan, B Peng, ME Taylor, ML Littman, J Huang, ... Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2014), 2014	82	2014
A need for speed: Adapting agent action speed to improve task learning from non-expert humans B Peng, J MacGlashan, R Loftin, ML Littman, DL Roberts, ME Taylor Autonomous Agents and Multiagent Systems (AAMAS 2016), 2016	60	2016
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning T Gupta, A Mahajan, B Peng, W Böhmer, S Whiteson 38th International Conference on Machine Learning (ICML 2021), 2021	55	2021
Optimistic Exploration even with a Pessimistic Initialisation T Rashid, B Peng, W Böhmer, S Whiteson International Conference on Learning Representations (ICLR 2020), 2020	52	2020
Regularized Softmax Deep Multi-Agent Q-Learning L Pan, T Rashid, B Peng, L Huang, S Whiteson 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021	38*	2021
Learning something from nothing: Leveraging implicit human feedback strategies R Loftin, B Peng, J MacGlashan, ML Littman, ME Taylor, J Huang, ... The 23rd IEEE international symposium on robot and human interactive …, 2014	35	2014
Training an agent to ground commands with reward and punishment J MacGlashan, M Littman, R Loftin, B Peng, D Roberts, M Taylor Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014	23	2014
Curriculum Design for Machine Learners in Sequential Decision Tasks B Peng, J MacGlashan, R Loftin, ML Littman, DL Roberts, ME Taylor IEEE Transactions on Emerging Topics in Computational Intelligence 2 (4 …, 2018	20	2018
An empirical study of non-expert curriculum design for machine learners B Peng, J MacGlashan, R Loftin, ML Littman, DL Roberts, ME Taylor Proceedings of the IJCAI Interactive Machine Learning Workshop, 2016	14	2016
Convergent Actor Critic by Humans J MacGlashan, ML Littman, DL Roberts, R Loftin, B Peng, ME Taylor International Conference on Intelligent Robots and Systems (IROS 2016), 2016	14	2016
Towards integrating real-time crowd advice with reinforcement learning GV de la Cruz, B Peng, WS Lasecki, ME Taylor Proceedings of the 20th International Conference on Intelligent User …, 2015	11	2015
Accelerating laboratory automation through robot skill learning for sample scraping G Pizzuto, H Wang, H Fakhruldeen, B Peng, KS Luck, AI Cooper 2024 IEEE 20th International Conference on Automation Science and …, 2024	7	2024

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores