Runsheng Yu

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All published works
Action Title Year Authors
+ PDF Chat Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions 2022 Wenyu Liu
Gaofeng Ren
Runsheng Yu
Shi Guo
Jianke Zhu
Lei Zhang
+ DO-GAN: A Double Oracle Framework for Generative Adversarial Networks 2022 Aye Phyu Phyu Aung
Xinrun Wang
Runsheng Yu
Bo An
J. Senthilnath
Xiaoli Li
+ RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents 2021 Wei Qiu
Xinrun Wang
Runsheng Yu
Rundong Wang
Xu He
Bo An
Svetlana Obraztsova
Zinovi Rabinovich
+ PDF Chat Personalized Adaptive Meta Learning for Cold-start User Preference Prediction 2021 Runsheng Yu
Yu Gong
Xu He
Yu Zhu
Qingwen Liu
Wenwu Ou
Bo An
+ PDF Chat RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents 2021 Wei Qiu
Xinrun Wang
Runsheng Yu
Xu He
Rundong Wang
Bo An
Svetlana Obraztsova
Zinovi Rabinovich
+ RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents 2021 Wei Qiu
Xinrun Wang
Runsheng Yu
Xu He
Rundong Wang
Bo An
Svetlana Obraztsova
Zinovi Rabinovich
+ DO-GAN: A Double Oracle Framework for Generative Adversarial Networks 2021 Aye Phyu Phyu Aung
Xinrun Wang
Runsheng Yu
Bo An
J. Senthilnath
Xiaoli Li
+ Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions 2021 Wenyu Liu
Gaofeng Ren
Runsheng Yu
Shi Guo
Jianke Zhu
Lei Zhang
+ PDF Chat Personalized Adaptive Meta Learning for Cold-start User Preference Prediction 2020 Runsheng Yu
Yu Gong
Xu He
Bo An
Yu Zhu
Qingwen Liu
Wenwu Ou
+ PDF Chat Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication 2020 Xu He
Bo An
Yanghua Li
Haikai Chen
Rundong Wang
Xinrun Wang
Runsheng Yu
Xin Li
Zhirong Wang
+ Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication 2020 Xu He
Bo An
Yanghua Li
Haikai Chen
Rundong Wang
Xinrun Wang
Runsheng Yu
Xin Li
Zhirong Wang
+ Personalized Adaptive Meta Learning for Cold-start User Preference Prediction 2020 Runsheng Yu
Yu Gong
Xu He
Bo An
Zhu Yu
Qingwen Liu
Wenwu Ou
+ Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning 2019 Runsheng Yu
Zhenyu Shi
Xinrun Wang
Rundong Wang
Buhong Liu
Xinwen Hou
Hanjiang Lai
Bo An
+ Learning Efficient Multi-agent Communication: An Information Bottleneck Approach 2019 Rundong Wang
Xu He
Runsheng Yu
Wei Qiu
Bo An
Zinovi Rabinovich
+ Predictive Learning: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction 2017 Runsheng Yu
Shi Zhenyu
Qiongxiong Ma
Laiyun Qing
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Actor-Attention-Critic for Multi-Agent Reinforcement Learning 2018 Shariq Iqbal
Fei Sha
3
+ PDF Chat A Survey on Deep Transfer Learning 2018 Chuanqi Tan
Fuchun Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
2
+ Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2017 Chelsea Finn
Pieter Abbeel
Sergey Levine
2
+ PDF Chat Deep Learning Face Attributes in the Wild 2015 Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
2
+ PDF Chat Memory Aware Synapses: Learning What (not) to Forget 2018 Rahaf Aljundi
Francesca Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
2
+ Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 2017 Ryan Lowe
Yi Wu
Aviv Tamar
Jean Harb
Pieter Abbeel
Igor Mordatch
2
+ Deep reinforcement learning for page-wise recommendations 2018 Xiangyu Zhao
Long Xia
Liang Zhang
Zhuoye Ding
Dawei Yin
Jiliang Tang
2
+ The StarCraft Multi-Agent Challenge 2019 Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip H. S. Torr
Jakob Foerster
Shimon Whiteson
2
+ Federated Meta-Learning with Fast Convergence and Efficient Communication 2018 Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
2
+ 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
2
+ 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
2
+ Meta-Learning with Latent Embedding Optimization 2018 Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
Raia Hadsell
2
+ Meta-SGD: Learning to Learn Quickly for Few-Shot Learning 2017 Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
2
+ 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
2
+ PDF Chat Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning 2019 Ryuichi Takanobu
Tao Zhuang
Minlie Huang
Jun Feng
Haihong Tang
Bo Zheng
2
+ Learning to Schedule Communication in Multi-agent Reinforcement Learning 2019 Daewoo Kim
Sangwoo Moon
David Earl Hostallero
Wan Ju Kang
Tae Young Lee
Kyunghwan Son
Yung Yi
2
+ Conditional Generative Adversarial Nets 2014 Mehdi Mirza
Simon Osindero
2
+ Personalizing Dialogue Agents via Meta-Learning 2019 Andrea Madotto
Zhaojiang Lin
Chien-Sheng Wu
Pascale Fung
2
+ Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace 2018 Yoonho Lee
Seungjin Choi
2
+ PDF Chat Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning 2018 Takeru Miyato
Shin‐ichi Maeda
Masanori Koyama
Shin Ishii
2
+ PDF Chat MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection 2020 Mi Luo
Fei Chen
Pengxiang Cheng
Zhenhua Dong
Xiuqiang He
Jiashi Feng
Zhenguo Li
2
+ PDF Chat Ranking for Relevance and Display Preferences in Complex Presentation Layouts 2018 Harrie Oosterhuis
Maarten de Rijke
2
+ PDF Chat Product-Based Neural Networks for User Response Prediction 2016 Yanru Qu
Han Cai
Kan Ren
Weinan Zhang
Yong Yu
Ying Wen
Jun Wang
2
+ Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 2018 Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
2
+ Overcoming catastrophic forgetting in neural networks 2017 James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka Grabska‐Barwińska
2
+ PDF Chat Stacked Generative Adversarial Networks 2017 Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge Belongie
2
+ Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 2017 Ryan Lowe
Yi Wu
Aviv Tamar
Jean Harb
OpenAI Pieter Abbeel
Igor Mordatch
2
+ Improved Techniques for Training GANs 2016 Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
2
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
2
+ PDF Chat Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction 2019 Kan Ren
Jiarui Qin
Yuchen Fang
Weinan Zhang
Lei Zheng
Weijie Bian
Guorui Zhou
Jian Xu
Yong Yu
Xiaoqiang Zhu
2
+ PDF Chat Optimal and Approximate Q-value Functions for Decentralized POMDPs 2008 Frans A. Oliehoek
Matthijs T. J. Spaan
Nikos Vlassis
2
+ PDF Chat Counterfactual Multi-Agent Policy Gradients 2018 Jakob Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
2
+ Continual Learning in Generative Adversarial Nets 2017 Ari Seff
Alex Beatson
Daniel Suo
Han Liu
2
+ DeepFM: A Factorization-Machine based Neural Network for CTR Prediction 2017 Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
1
+ 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
1
+ Guided Deep Reinforcement Learning for Swarm Systems 2017 Maximilian Hüttenrauch
Adrian Šošić
Gerhard Neumann
1
+ PDF Chat YOLO9000: Better, Faster, Stronger 2017 Joseph Redmon
Ali Farhadi
1
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
1
+ PDF Chat Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014 Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
1
+ Continuous control with deep reinforcement learning 2015 Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
Nicolas Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
1
+ Deep Variational Information Bottleneck 2016 Alexander A. Alemi
Ian Fischer
Joshua V. Dillon
Kevin Murphy
1
+ Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application 2018 Yujing Hu
Qing Da
Anxiang Zeng
Yang Yu
Yinghui Xu
1
+ Unrolled Generative Adversarial Networks 2016 Luke Metz
Ben Poole
David Pfau
Jascha Sohl‐Dickstein
1
+ Algorithms for CVaR Optimization in MDPs 2014 Yinlam Chow
Mohammad Ghavamzadeh
1
+ Risk-averse dynamic programming for Markov decision processes 2010 Andrzej Ruszczyński
1
+ Spectral Normalization for Generative Adversarial Networks 2018 Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
1
+ Reinforcement Learning based Recommender System using Biclustering Technique 2018 Sungwoon Choi
Heonseok Ha
Uiwon Hwang
Chanju Kim
Jung-Woo Ha
Sungroh Yoon
1
+ Regret Minimization for Partially Observable Deep Reinforcement Learning 2017 Peter Jin
Kurt Keutzer
Sergey Levine
1
+ Variational Autoencoder for Deep Learning of Images, Labels and Captions 2016 Yunchen Pu
Zhe Gan
Ricardo Henao
Xin Yuan
Chunyuan Li
Andrew Stevens
Lawrence Carin
1
+ PDF Chat On the coherence of expected shortfall 2002 Carlo Acerbi
Dirk Tasche
1