Ying Wen is now a tenure-track associate professor in School of Artificial Intelligence and John Hopcroft Center, Shanghai Jiao Tong University. His research interests include deep reinforcement learning, multi-agent systems, game theory and machine learning systems.

Ying Wen, Peng Peng, Yaodong Yang, Quan Yuan, Zhenkun Tang, Haitao Long, Jun Wang. Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games .

Ying Wen / 温颖 Curriculum Vitae 800 Dongchuan Road Minhang, Shanghai H +86 18618296710 B [email protected] ˝ Homepage: yingwen.io Google Scholar Research Interests: Multi-Agent Reinforcement Learning, Machine Learning Systems. Professional Experience Sept2020-Shanghai,CN Shanghai Jiao Tong University,John Center,AssistantProfessor.

Ying Wen Assistant Professor. My research interests include multi-agent learning and reinforcement learning..

Ying Wen Assistant Professor. My research interests include multi-agent learning and reinforcement learning..

Ying Wen Assistant Professor. My research interests include multi-agent learning and reinforcement learning..

Ying Wen. Home; Publication; Talks; Contact; Light Dark Automatic. Opponent Modelling. Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning. We propose a new reasoning protocol called generalized recursive reasoning (GR2), and embed it into the multi-agent reinforcement learning (MARL) framework. The GR2 ...

Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang. December 2016 PDF Cite Code Abstract. Predicting user responses, such as clicks and conversions, is of great importance and has found its usage inmany Web applications including recommender systems, webs earch and online advertising. The data in those applications is mostly ...

Ying Wen Assistant Professor. My research interests include multi-agent learning and reinforcement learning..

Ying Wen Assistant Professor. My research interests include multi-agent learning and reinforcement learning..