Wenhan Huang

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ A Constructive Proof of the Brouwer Fixed-Point Theorem and Computational Results 1976 R. Bruce Kellogg
T. Y. Li
James A. Yorke
1
+ Categorical Reparameterization with Gumbel-Softmax 2016 Eric Jang
Shixiang Gu
Ben Poole
1
+ Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 2017 Ryan Lowe
Yi Wu
Aviv Tamar
Jean Harb
Pieter Abbeel
Igor Mordatch
1
+ 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
1
+ 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
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
+ Learning to Walk Via Deep Reinforcement Learning 2019 Tuomas Haarnoja
Sehoon Ha
Aurick Zhou
Jie Tan
George Tucker
Sergey Levine
1
+ Learning Transferable Cooperative Behavior in Multi-Agent Teams 2019 Akshat Agarwal
Sumit Kumar
Katia Sycara
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
+ 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
+ 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