Monday Oct 14 | |||
Session/Time | Paper | Author | Session Name |
1A Monday, Oct 14 10:30-11:30 |
Generative Adversarial Exploration for Reinforcement Learning | Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun | Reinforcement learning 1 (Room 307) Session chair: Dengji Zhao |
An Efficient Reinforcement Learning Algorithm for Learning Deterministic Policies in Continuous Domains | Matthieu Zimmer, Paul Weng | ||
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning | Siyuan Li, Chongjie Zhang --Invited from AAAI'2018 |
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1B Monday, Oct 14 10:30-11:30 |
Mistakes in Games | Sam Ganzfried | Algorithmic Game Theory 1 (Room 311) Session chair: Bing Shi |
Moral Hazard in Game of Miners | Jingchang Sun, Yulong Zeng | ||
Optimal Interdiction of Urban Criminals with the Aid of Real-time Information | Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas Jennings --Invited from AAAI'2019 |
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2A Monday, Oct 14 11:30-12:30 |
SA-IGA: amultiagent reinforcement learning method towards socially optimal outcomes | Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue, Zhiyong Feng --Invited from JAAMAS'2019 |
Multiagent learning 1 (Room 307) Session chair: Zongzhang Zhang |
A Deep Bayesian Policy Reuse Approach Against Non-stationary Agents | Yan Zheng, Zhaopeng Meng, Jianye Hao, Zhangzong Zhang, Tianpei Yang, Changjie Fan --Invited from NeurIPS'2018 |
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Towards Efficient Detection and Optimal Response against Sophosticated Opponents | Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng --Invited from IJCAI'2019 |
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2B Monday, Oct 14 11:30-12:30 |
Achieving Cooperation Through Deep Multiagent Reinforcement Learning in Sequential Prisoner’s Dilemmas | Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor | Coordination and Cooperation 1 (Room 311) Session chair: Shuyue Hu |
Learning Attentional Communication for Multi-Agent Cooperation | Jiechuan Jiang and Zongqing Lu | ||
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games | Kai Li, Dong Hao --Invited from AAAI'2019 |
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3A Monday, Oct 14 15:30-16:30 |
Budget-feasible Procurement Mechanisms in Two-sided Markets | Weiwei Wu, Xiang Liu, Minming Li -Invited from IJCAI'2018 |
Markets and Economic Paradigms 1 (Room 307) Session chair: Weiwei Wu |
Information Disclosure and Partner Management in Affiliate Marketing | Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus | ||
Selling Multiple Items via Social Networks | Dengji Zhao -Invited from AAMAS'2018 |
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3B Monday, Oct 14 15:30-16:30 |
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces | Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan --Invited from IJCAI'2019 |
Multiagent learning 2 (Room 311) Session chair: Hankui Zhuo |
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG | Hangyu Mao, Zhengchao Zhang, Zhen Xiao and Zhibo Gong --Invited from AAMAS'2018 |
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Mean Field Multi-Agent Reinforcement Learning | Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang --Invited from ICML'2018 |
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4A Monday, Oct 14 16:30-17:30 |
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer | Fuli Luo , Peng Li , Jie Zhou , Pengcheng Yang , Baobao Chang , Zhifang Sui , Xu Sun --Invited from IJCAI'2019 |
Natural Language Processing 1 (Room 307) Session chair: Paul Weng |
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation | Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang --Invited from AAAI'2019 |
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Bridging by Word: Image-Grounded Vocabulary Construction for Visual Captioning | Zhihao Fan , Zhongyu Wei , Siyuan Wang, Xuanjing Huang --Invited from ACL'2019 |
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4B Monday, Oct 14 16:30-17:30 |
Asynchronous Classification-Based Optimization | Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu | Optimization 1 (Room 311) Session chair: Weinan Zhang |
PT-ISABB A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems | Yanchen Deng,Ziyu Chen*,Dingding Chen,Xingqiong Jiang,Qiang Li --Invited from AAMAS'2019 |
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Cascaded Algorithm-selection and Hyper-parameter Optimization with Extreme-region Upper Confidence Bound Bandit | Yi-Qi Hu, Yang Yu and Jun-Da Liao --Invited from IJCAI'2019 |
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Tuesday Oct 15 | |||
Session/Time | Paper | Author | Session Name |
5A Tuesday, Oct 15 10:30-11:30 |
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning | Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu --Invited from IJCAI'2019 |
Reinforcement learning 2 (Room 307) Session chair: Tianpei Yang |
Context-Aware Policy Reuse | Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang --Invited from AAMAS'2019 |
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StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization | Xiangteng He, Yuxin Peng and Junjie Zhao --Invited from IJCAI'2018 |
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5B Tuesday, Oct 15 10:30-11:30 |
A Distributed Solver for Multi-Agent Path Finding Problems | Poom Pianpak, Tran Cao Son, Zachary O. Toups, William Yeoh | Scheduling and Planning 1 (Room 311) Session chair: Chao Yu |
Stochastic Multi-Agent Planning with Partial State Models | Feng Wu | ||
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning | Wenzhen Huang, Junge Zhang, Kaiqi Huang --Invited from AAAI'2019 |
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6A Tuesday, Oct 15 11:30-12:30 |
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation | Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng and Jieping Ye --Invited from KDD'2019 |
Reinforcement Learning and Applications 1 (Room 307) Session chair: Feng Wu |
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems | Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang --Invited from AAAI'2019 |
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Dynamic Electronic Toll Collection via Multi-agent Deep Reinforcement Learning with Edge-based Graph Convolutional Network Representation | Wei Qiu, Haipeng Chen, Bo An --Invited from IJCAI'2019 |
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6B Tuesday, 15th Oct 11:30-12:30 |
Double Auction Design on Networks | Junping Xu, Xin He, Dengji Zhao | Auctions And Mechanism Design 1 (Room 311) Session chair: Lei Zhang |
Approval Voting with Costly Information. | Michael Gershtein, David Sarne and Yonatan Aumann | ||
Rediscovery of Myerson's Auction via Primal-Dual Analysis | Song Zuo | ||
7A Tuesday, Oct 15 14:00-15:30 |
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns | Yong Liu, Yujing Hu , Yang Gao , Yingfeng Chen, Changjie Fan --Invited from IJCAI'2019 |
Multiagent learning 3 (Room 307) Session chair: Song Zuo |
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach | Shuyue Hu, Chin-wing Leung and Ho-fung Leung --Invited from NeurIPS'2019 |
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A Regularized Opponent Model with Maximum Entropy Objective | Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang --Invited from IJCAI'2019 |
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7B Tuesday, Oct 15 14:00-15:30 |
Coordinated Multiagent Reinforcement Learning for Teams of Mobile Sensing Robots. | Chao Yu, Xin Wang, Zhanbo Feng --Invited from AAMAS'2019 |
Coordination and Cooperation 2 (Room 311) Session chair: Dong Hao |
Multi-unit Budget Feasible Mechanisms for Cellular Traffic Offloading | Jun Wu, Yuan Zhang, Yu Qiao, Lei Zhang, Chongjun Wang, and Junyuan Xie --Invited from AAMAS'2019 |
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Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems | Xiaotian Hao, Weixun Wang, Yaodong Yang, Jianye Hao --Invited from AAMAS'2019 |
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8A Tuesday, Oct 15 15:30-16:30 |
Fully Parameterized Quantile Function for Distributional Reinforcement Learning | Derek Yang, Li Zhao, Zichuan Lin, Jiang Bian, Tao Qin, Tie-Yan Liu --Invited from NeurIPS'2019 |
Reinforcement Learning 3 (Room 307) Session chair: Li Zhao |
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards | Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang --Invited from NeurIPS'2019 |
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Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function | Zihan Zhang, Xiangyang Ji --Invited from NeurIPS'2019 |
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8B Tuesday, Oct 15 15:30-16:30 |
Factorized Q-Learning for Large-Scale Multi-Agent Systems | Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang | Multiagent Learning 4 (Room 311) Session chair: Jianye Hao |
Towards Faster Convention Emergence from Multilateral Coordination: A Gist Trace-based Multi-Agent Reinforcement Learning Approach | Shuyue Hu, Chin-wing Leung, Ho-fung Leung and Jiamou Liu --Invited from AAMAS'2019 |
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Learning Adaptive Display Exposure for Real-Time Advertising | Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu and Kun Gai --Invited from CIKM'2019 |
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