Fubiao Zhang

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All published works

Action	Title	Year	Authors
+ PDF Chat	BGC: Multi-agent Group Belief with Graph Clustering	2022	Tianze Zhou Fubiao Zhang Pan Tang Chenfei Wang
+	Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment	2021	Tianze Zhou Fubiao Zhang Kun Shao Kai Li Wenhan Huang Jun Luo Weixun Wang Yaodong Yang Hangyu Mao Bin Wang
+	Multi-Agent Reinforcement Learning with Graph Clustering.	2020	Tianze Zhou Fubiao Zhang Chenfei Wang
+ PDF Chat	BGC: Multi-Agent Group Belief with Graph Clustering	2020	Tianze Zhou Fubiao Zhang Pan Tang Chenfei Wang
+	BGC: Multi-Agent Group Belief with Graph Clustering	2020	Tianze Zhou Fubiao Zhang Pan Tang Chenfei Wang

Common Coauthors

Coauthor	Papers Together
Chenfei Wang	4
Tianze Zhou	4
Pan Tang	2
Jianye Hao	1
Kai Li	1
Wenhan Huang	1
Hangyu Mao	1
Weixun Wang	1
Yaodong Yang	1
Bin Wang	1
Dong Li	1
Tianze Zhou	1
Kun Shao	1
Jun Luo	1
Wulong Liu	1
Pan Tang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	StarCraft II: A New Challenge for Reinforcement Learning	2017	Oriol Vinyals Timo Ewalds Sergey Bartunov Petko Georgiev Alexander Sasha Vezhnevets Michelle Yeo Alireza Makhzani Heinrich Küttler John Agapiou Julian Schrittwieser	3
+	Learning Transferable Cooperative Behavior in Multi-Agent Teams	2019	Akshat Agarwal Sumit Kumar Katia Sycara	3
+ PDF Chat	Rényi Divergence and Kullback-Leibler Divergence	2014	Tim van Erven Peter Harremoës	3
+	Value-Decomposition Networks For Cooperative Multi-Agent Learning	2017	Peter Sunehag Guy Lever Audrūnas Gruslys Wojciech Marian Czarnecki Vinícius Zambaldi Max Jaderberg Marc Lanctot Nicolas Sonnerat Joel Z. Leibo Karl Tuyls	3
+ PDF Chat	Multi-Agent Game Abstraction via Graph Attention Neural Network	2020	Yong Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao	3
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning	2020	Hangyu Mao Wulong Liu Jianye Hao Jun Luo Dong Li Zhengchao Zhang Jun Wang Zhen Xiao	2
+	Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation	2018	Jiechuan Jiang Chen Dun Zongqing Lu	2
+	Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.	2017	Peng Peng Quan Yuan Ying Wen Yaodong Yang Zhenkun Tang Haitao Long Jun Wang	2
+	Guided Deep Reinforcement Learning for Swarm Systems	2017	Maximilian Hüttenrauch Adrian Šošić Gerhard Neumann	2
+	Learning Individually Inferred Communication for Multi-Agent Cooperation	2020	Ziluo Ding Tiejun Huang Zongqing Lu	2
+	Learning to Walk Via Deep Reinforcement Learning	2019	Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine	1
+	Deep Recurrent Q-Learning for Partially Observable MDPs	2015	Matthew Hausknecht Peter Stone	1
+	Learning to Communicate with Deep Multi−Agent Reinforcement Learning	2016	Jakob Foerster Ioannis Alexandros Assael Nando de Freitas Shimon Whiteson	1
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems	2019	Weixun Wang Tianpei Yang Yong Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao	1
+ PDF Chat	Large-Scale Traffic Signal Control Using a Novel Multiagent Reinforcement Learning	2020	Xiaoqiang Wang Liangjun Ke Zhimin Qiao Xinghua Chai	1
+ PDF Chat	Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks	2019	Jingjing Cui Yuanwei Liu Arumugam Nallanathan	1
+	Influence-Based Multi-Agent Exploration	2019	Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang	1
+	MAVEN: Multi-Agent Variational Exploration.	2019	Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson	1
+	Dota 2 with Large Scale Deep Reinforcement Learning	2019	Christopher Berner Greg Brockman Brooke Chan Vicki Cheung Przemyslaw Debiak Christy Dennison David Farhi Quirin Fischer Shariq Hashme Christopher Hesse	1
+	Influence-Based Multi-Agent Exploration	2019	Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang	1
+ PDF Chat	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning	2020	Deheng Ye Zhao Liu Mingfei Sun Bei Shi Peilin Zhao Hao Wu Hongsheng Yu Shaojie Yang Xipeng Wu Qingwei Guo	1
+ PDF Chat	From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning	2020	Weixun Wang Tianpei Yang Yong Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao	1
+	Reformer: The Efficient Transformer	2020	Nikita Kitaev Łukasz Kaiser Anselm Levskaya	1
+	Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning	2020	Yaodong Yang Jianye Hao Ben Liao Kun Shao Guangyong Chen Wulong Liu Hongyao Tang	1
+	Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning	2020	Qian Long Zihan Zhou Abhibav Gupta Fei Fang Yi Wu Xiaolong Wang	1
+	ROMA: Multi-Agent Reinforcement Learning with Emergent Roles	2020	Tonghan Wang Heng Dong Victor Lesser Chongjie Zhang	1
+	Multi-Agent Determinantal Q-Learning	2020	Yaodong Yang Ying Wen Jun Wang Liheng Chen Kun Shao David Mguni Weinan Zhang	1
+	Off-Policy Multi-Agent Decomposed Policy Gradients	2020	Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang	1
+	QPLEX: Duplex Dueling Multi-Agent Q-Learning	2020	Jianhao Wang Zhizhou Ren Terry Z. Liu Yang Yu Chongjie Zhang	1
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	1
+	UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers	2021	Siyi Hu Fengda Zhu Xiaojun Chang Xiaodan Liang	1
+	The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games	2021	Chao Yu Akash Velu Eugene Vinitsky Yu Wang Alexandre M. Bayen Yi Wu	1
+	A Constructive Proof of the Brouwer Fixed-Point Theorem and Computational Results	1976	R. Bruce Kellogg T. Y. Li James A. Yorke	1
+	The Distance-Weighted k-Nearest-Neighbor Rule	1976	Sahibsingh A. Dudani	1
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	1
+	Grammar Variational Autoencoder	2017	Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato	1
+ PDF Chat	Counterfactual Multi-Agent Policy Gradients	2018	Jakob Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson	1
+	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	2017	Ryan Lowe Yi Wu Aviv Tamar Jean Harb Pieter Abbeel Igor Mordatch	1
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	1
+	Deep Reinforcement Learning for List-wise Recommendations	2018	Xiangyu Zhao Liang Zhang Zhuoye Ding Dawei Yin Yihong Zhao Jiliang Tang	1
+	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning	2018	Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob Foerster Shimon Whiteson	1