Program Overview

Time in UTC+8 Monday Jan 3, 2022 Tuesday Jan 4, 2022* Wednesday Jan 5, 2022
08:30-09:00 Opening
09:00-10:00 Tutorial 1: Training a Population of Reinforcement Learning Agents
(Room A)
Keynote 1
Bart Selman: Hybrid Strategies for Integrating Combinatorial Reasoning and Deep Learning

(Room A)
Keynote 3
Craig Boutilier: User Utility and Social Welfare in Recommender Ecosystems

(Room A)
10:00-10:15 Coffee break Coffee break Coffee break
10:15-11:15 Tutorial 1: Training a Population of Reinforcement Learning Agents
(Room A)
Session 1: Multi-agent Learning
(Room A)
+
Session 2: Decision Markets and Mechanism Design
(Room B, end at 11:35)
Session 5: Human-agent Interaction and Decentralized Systems
(Room A)
+
Session 6: Game Theory I
(Room B)
11:15-12:15 Industrial Talk
Adam Tauman Kalai: Programming Puzzles to Teach AI to Code

(Room A)
Sponsor Talk
(Room A)
+
Session 7: Learning Theory I
(Room B)
+ Poster Session
(Hallway)
12:15-14:00 Lunch Lunch Lunch
14:00-15:00
Workshop 1: Population-Based Multi-agent Reinforcement Learning
(Room A)
+
Tutorial 2: Crowdsourcing Natural Language Data at Scale: A Hands-On Tutorial
(Room B)
Keynote 2: Julie Shah
(Room A)
Session 8: Reinforcement Learning II
(Room A)
+
Session 9: Learning Theory II
(Room B)
15:00-15:15 Coffee break Coffee break Coffee break
15:15-15:55
Workshop 1: Population-Based Multi-agent Reinforcement Learning
(Room A)
+
Tutorial 2: Crowdsourcing Natural Language Data at Scale: A Hands-On Tutorial
(Room B)
Industrial Talk
Yehuda Elmalliah: Towards Software Robotic Development in the Cloud

(Room A)
Industrial Talk
Olga Megorskaya: Data Labeling as an Integral Part of ML Production: Real-Life Usecases and Technologies

(Room A)
15:55-17:15 Session 3: Reinforcement Learning I
(Room A)
+
Session 4: Mechanism Design in Networked System
(Room B)
Session 10: Agent-oriented Engineering and Federated Learning
(Room A)
+
Session 11: Game Theory II
(Room B)
17:15-17:30 Closing
19:00-22:00 Banquet  

*Note : Workshop 2: Workshop on Learning and Optimization will be held all day in Tactic C.

Live Stream Details

We provide live streams in Bilibili. This channel is open to everyone without registration.

Session Details

Session 1: Multi-agent Learning (Jan. 4, 10:15-11:15, Room A)

Session Chair: Weinan Zhang, Shanghai Jiao Tong University

BGC: Multi-Agent Group Belief with Graph Clustering (DAI 2021)

Authors: Tianze Zhou, Fubiao Zhang, Pan Tang, and Chenfei Wang

Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics (DAI 2021)

Authors: Atena M. Tabakhi, William Yeoh, and Roie Zivan

Signal Instructed Coordination in Cooperative Multi-Agent Reinforcement Learning (DAI 2021)

Authors: Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, and Yong Yu

Session 2: Decision Markets and Mechanism Design (Jan. 4, 10:15-11:35, Room B)

Session Chair: Zheng Tian, ShanghaiTech University

Securities Based Decision Markets (DAI 2021)

Authors: Wenlong Wang and Thomas Pfeiffer

Behavioral Stable Marriage Problems (DAI 2021)

Authors: Andrea Martin, Kristen Brent Venable, and Nicholas Mattei

Diffusion Auction Design (AIJ)

Authors: Bin Li, Dong Hao, Hui Gao and Dengji Zhao

Coupon Design in Advertising Systems (AAAI 2021)

Authors: Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang

Session 3: Reinforcement Learning I (Jan. 4, 15:55-17:15, Room A)

Session Chair: Zheng Tian, ShanghaiTech University

Combining M-MCTS and Deep Reinforcement Learning for General Game Playing (DAI 2021)

Authors: Sili Liang, Guifei Jiang, and Yuzhi Zhang

Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning (DAI 2021)

Authors: Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, and Zhaopeng Meng

Regularized Softmax Deep Multi-Agent Q-Learning (NeurIPS 2021)

Authors: Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang and Shimon Whiteson

Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning (AAMAS 2021)

Authors: Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua and Hongyuan Zha

Session 4: Mechanism Design in Networked System (Jan. 4, 15:55-17:15, Room B)

Session Chair: Lei Zhang, Nanjing University

A Budget-Limited Mechanism for Category-Aware Crowdsourcing of Multiple-Choice Tasks (AIJ)

Authors: Yuan Luo and Nicholas R. Jennings

Semi-Supervised Learning with Multi-Head Co-Training (AAAI 2022)

Authors: Mingcai Chen, Yuntao Du , Yi zhang, Shuwei Qian, and Chongjun Wang

A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading (AAAI 2020)

Authors: Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang and Meilin Liu

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems (NeurIPS 2021)

Authors: Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang and Zhaopeng Meng

Session 5: Human-agent Interaction and Decentralized Systems (Jan. 5, 10:15-11:15, Room A)

Session Chair: Zongzhang Zhang, Nanjing University

FUN-Agent: a HUMAINE Competitor (DAI 2021)

Authors: Robert Geraghty, James Hale, and Sandip Sen

Multi-Agent Incentive Communication via Decentralized Teammate Modeling (AAAI 2022)

Authors: Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu and Chongjie Zhang

Data-Driven Many-Objective Crowd Worker Selection for Mobile Crowdsourcing in Industrial IoT (IEEE TII)

Authors: Zhuoran Lu, Yingjie Wang*, Xiangrong Tong, Chunxiao Mu, Yu Chen and Yingshu Li

Session 6: Game Theory I (Jan. 5, 10:15-11:15, Room B)

Session Chair: Yuan Luo, The Chinese University of Hong Kong (Shenzhen)

The Power of Signaling and its Intrinsic Connection to the Price of Anarchy (DAI 2021)

Authors: Jamie Nachbar and Haifeng Xu

Budget-feasible Mechanisms for Representing Groups of Agents Proportionally (IJCAI 2021)

Authors: Xiang Liu, Hau Chan, Minming Li and Weiwei Wu

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts (IJCAI 2021)

Authors: Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou

Session 7: Learning Theory I (Jan. 5, 11:15-12:15, Room B)

Session Chair: Zongzhang Zhang, Nanjing University

Cross-Modal Domain Adaptation for Cost-efficient Visual Reinforcement Learning (NeurIPS 2021)

Authors: Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang and Yang Yu

LoFGAN: Fusing Local Representations for Few-shot Image Generation (ICCV 2021)

Authors: Zheng Gu, Wenbin Li, Jing Huo, Lei Wang and Yang Gao

Asymmetric Distribution Measure for Few-shot Learning (IJCAI 2020)

Authors: Wenbin Li, Lei Wang, Jing Huo1, Yinghuan Shi, Yang Gao and Jiebo Luo

Session 8: Reinforcement Learning II (Jan. 5, 14:00-15:00, Room A)

SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition (DAI 2021)

Authors: Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, and Pingzhong Tang

Safe Distributional Reinforcement Learning (DAI 2021)

Authors: Jianyi Zhang and Paul Weng

MARL for Traffic Signal Control in Scenarios with Different Intersection Importance (DAI 2021)

Authors: Liguang Luan, Yu Tian, Wanqing Fang, Chengwei Zhang, Wanli Xue, Rong Chen, and Chen Sang

Session 9: Learning Theory II (Jan. 5, 14:00-15:00, Room B)

Session Chair: Zongzhang Zhang, Nanjing University

A Two-Step Method for Dynamics of Abstract Argumentation (DAI 2021)

Authors: Xiaoxin Jing, Xudong Luo

Offline Imitation Learning With a Misspecified Simulator (NeurIPS 2020)

Authors: Shengyi Jiang, Jingcheng Pang and Yang Yu

Adapting Environment Sudden Changes by Learning Context Sensitive Policy (AAAI 2022)

Authors: Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang and Yi-Feng Zhang

Session 10: Agent-oriented Engineering and Federated Learning (Jan. 5, 15:55-17:15, Room A)

The Positive Effect of User Faults over Agent Perception in Collaborative Settings and its Use in Agent Design (DAI 2021)

Authors: Reut Asraf, Chen Rozenshtein and David Sarne

A Description of the Jadescript Type System (DAI 2021)

Authors: Giuseppe Petrosino, Eleonora Iotti, Stefania Monica, Federico Bergenti

What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator (AAAI 2022)

Authors: Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao and Li Wang

Billion-Scale Federated Learning on Mobile Clients: A Submodel Design with Tunable Privacy (MobiCom 2020)

Authors: Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, and Guihai Chen

Session 11: Game Theory II (Jan. 5, 15:55-17:15, Room B)

Session Chair: Yuan Luo, The Chinese University of Hong Kong (Shenzhen)

Online Collective Multiagent Planning by Offline Policy Reuse with Applications to City-Scale Mobility-on-Demand Systems (AAMAS 2022)

Authors: Wanyuan Wang, Gerong Wu, Weiwei Wu, Yichuan Jiang and Bo An

On the Complexity of Sequential Posted Pricing (AAMAS 2020)

Authors: Tao Xiao, Zhengyang Liu, Wenhan Huang

Incentives to Invite Others to Form Larger Coalition (AAMAS 2022)

Authors: Yao Zhang, Dengji Zhao

Incentive Compatible Mechanism for Influential Agent Selection (SAGT 2021)

Authors: Xiuzhen Zhang, Yao Zhang and Dengji Zhao

Sponsor Talk (Jan. 5, 11:15-12:15, Room A)

Session Chair: Dengji Zhao, ShanghaiTech University