Weifan Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	BViT: Broad Attention-Based Vision Transformer	2023	Nannan Li Yaran Chen Weifan Li Zixiang Ding Dongbin Zhao Shuai Nie
+ PDF Chat	Empirical Policy Optimization for <i>n</i>-Player Markov Games	2022	Yuanheng Zhu Weifan Li Mengchen Zhao Jianye Hao Dongbin Zhao
+	BViT: Broad Attention based Vision Transformer	2022	Nannan Li Yaran Chen Weifan Li Zixiang Ding Dongbin Zhao
+ PDF Chat	UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios	2021	Jiajun Chai Weifan Li Yuanheng Zhu Dongbin Zhao Zhe Ma Kewu Sun Jishiyu Ding

Common Coauthors

Coauthor	Papers Together
Dongbin Zhao	4
Yuanheng Zhu	2
Yaran Chen	2
Zixiang Ding	2
Kewu Sun	1
Jishiyu Ding	1
Nannan Li	1
Nannan Li	1
Mengchen Zhao	1
Zhe Ma	1
Jianye Hao	1
Shuai Nie	1
Jiajun Chai	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning	2018	Kun Shao Yuanheng Zhu Dongbin Zhao	2
+ PDF Chat	Dynamics of stochastic approximation algorithms	1999	Michel Benaı̈m	1
+	Chapter 20 Zero-sum two-person games	1994	T. E. S. Raghavan	1
+ PDF Chat	Learning Stationary Correlated Equilibria in Constrained General-Sum Stochastic Games	2015	Vesal Hakami Mehdi Dehghan	1
+ PDF Chat	An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination	2012	Yongcan Cao Wenwu Yu Wei Ren Guanrong Chen	1
+	Characterization and computation of local Nash equilibria in continuous games	2013	Lillian J. Ratliff Samuel A. Burden S. Shankar Sastry	1
+ PDF Chat	Penalty-Regulated Dynamics and Robust Learning Procedures in Games	2014	Pierre Coucheney Bruno Gaujal Panayotis Mertikopoulos	1
+ PDF Chat	Smooth minimization of non-smooth functions	2004	Yu. Nesterov	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Deep Reinforcement Learning from Self-Play in Imperfect-Information Games	2016	Johannes Heinrich David Silver	1
+ PDF Chat	Deep Networks with Stochastic Depth	2016	Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger	1
+ PDF Chat	Counterfactual Multi-Agent Policy Gradients	2018	Jakob Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Online Reinforcement Learning in Stochastic Games	2017	Chen-Yu Wei Yi-Te Hong Chi-Jen Lu	1
+	Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games	2017	Peng Peng Ying Wen Yaodong Yang Quan Yuan Zhenkun Tang Haitao Long Jun Wang	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	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
+ PDF Chat	Learning in games with continuous action sets and unknown payoff functions	2018	Panayotis Mertikopoulos Zhengyuan Zhou	1
+	Gaussian Error Linear Units (GELUs)	2016	Dan Hendrycks Kevin Gimpel	1
+	On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games	2019	Eric Mazumdar Michael I. Jordan S. Shankar Sastry	1
+	Open-ended Learning in Symmetric Zero-sum Games	2019	David Balduzzi Marta Garnelo Yoram Bachrach Wojciech Marian Czarnecki Julien Pérolat Max Jaderberg Thore Graepel	1
+ PDF Chat	Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning	2019	Minne Li Zhiwei Qin Yan Jiao Yaodong Yang Jun Wang Chenxi Wang Guobin Wu Jieping Ye	1
+	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent	2019	Edward Lockhart Marc Lanctot Julien Pérolat Jean-Baptiste Lespiau Dustin Morrill Finbarr Timbers Karl Tuyls	1
+	Trust Region Policy Optimization	2015	John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel	1
+	Actor-Critic Policy Optimization in Partially Observable Multiagent Environments	2018	Sriram Srinivasan Marc Lanctot Vinícius Zambaldi Julien Pérolat Karl Tuyls Rémi Munos Michael Bowling	1
+	Value Function Approximation in Zero-Sum Markov Games	2012	Michail G. Lagoudakis Ron Parr	1
+ PDF Chat	Dual Attention Network for Scene Segmentation	2019	Jun Fu Jing Liu Haijie Tian Yong Li Yongjun Bao Zhiwei Fang Hanqing Lu	1
+ PDF Chat	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	2017	Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta	1
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He	1
+ PDF Chat	Multiagent cooperation and competition with deep reinforcement learning	2017	Ardi Tampuu Tambet Matiisen Dorian Kodelja Ilya Kuzovkin Kristjan Korjus Juhan Aru Jaan Aru Raúl Vicente	1
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	1
+	Deep Reinforcement Learning from Self-Play in Imperfect-Information Games	2016	Johannes Heinrich David Silver	1
+	On the Properties of Neural Machine Translation: Encoder–Decoder Approaches	2014	Kyunghyun Cho Bart van Merriënboer Dzmitry Bahdanau Yoshua Bengio	1
+	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent	2019	Edward Lockhart Marc Lanctot Julien Pérolat Jean-Baptiste Lespiau Dustin Morrill Finbarr Timbers Karl Tuyls	1
+ PDF Chat	Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment	2019	Haoran Li Qichao Zhang Dongbin Zhao	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	Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning	2019	Le Liang Hao Ye Geoffrey Ye Li	1
+ PDF Chat	GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond	2019	Yue Cao Jiarui Xu Stephen Lin Fangyun Wei Han Hu	1
+	Model and Reinforcement Learning for Markov Games with Risk Preferences	2019	Wenjie Huang Pham Viet Hai William B. Haskell	1
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	1
+	A Generalized Training Approach for Multiagent Learning	2019	Paul Müller Shayegan Omidshafiei Mark Rowland Karl Tuyls Julien Pérolat Siqi Liu Daniel Hennes Luke Marris Marc Lanctot Edward Hughes	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
+ PDF Chat	Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition	2020	Xin Liu Baotian Hu Qingcai Chen Xiangping Wu Jinghan You	1
+ PDF Chat	Random Erasing Data Augmentation	2020	Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang	1
+ PDF Chat	Coarse Correlation in Extensive-Form Games	2020	Gabriele Farina Tommaso Bianchi Tüomas Sandholm	1
+	Distance-based Equilibria in Normal-Form Games	2020	Erman Acar Reshef Meir	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
+	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning	2020	Yaodong Yang Jianye Hao Guangyong Chen Hongyao Tang Yingfeng Chen Yujing Hu Changjie Fan Zhongyu Wei	1
+ PDF Chat	Designing Network Design Spaces	2020	Ilija Radosavovic Raj Prateek Kosaraju Ross Girshick Kaiming He Piotr Dollár	1