Program Overview

Time in UTC+8

Nov. 30, 2023

Dec. 1, 2023

Dec. 2, 2023

Dec. 3, 2023

08:50-09:00

   

Opening

 

09:00-10:00


Tutorial 1
(LT3)
Building
Autonomous
Agents in
Open-ended
Environment

Workshop 2
(LT4)
Workshop on
Large
Language,
Multi-modal
and Decision
Models

-

Workshop 4
(LT3)
Applied
Artificial
Intelligence

Workshop 5
(LT4)
Multi-agent
Systems in
Complex
Environments

Workshop 6
(LT6)
Generative
Artificial
Intelligence:
From
Algorithm to
Scientific
Discovery

Keynote 1
(LT1A)
Milind Tambe
Chair: Pradeep Varakantham

Keynote 3
(LT1A)
Carla P. Gomes
Chair: Weinan Zhang

10:00-10:30

Tea Break

Tea Break

Tea Break

Tea Break

10:30-12:30


Tutorial 1
(LT3)
Building
Autonomous
Agents in
Open-ended
Environment

Workshop 2
(LT4)
Workshop on
Large
Language,
Multi-modal
and Decision
Models

-

Workshop 4
(LT3)
Applied
Artificial
Intelligence

Workshop 5
(LT4)
Multi-agent
Systems in
Complex
Environments

Workshop 6
(LT6)
Generative
Artificial
Intelligence:
From
Algorithm to
Scientific
Discovery

Session:
Reinforcement
Learning I -
Single
Agent RL
(LT1A)
Chair: Mengchen
Zhao

Session:
Robotics
(LT5)
Chair: Huazhe
Xu

Session:
Reinforcement
Learning II -
Pre-train
Model
(LT1A)
Chair: Ying
Wen

Session:
Reinforcement
Learning III -
Offline RL
and Imitation
Learning
(LT5)
Chair: Youzhi
Zhang

12:30-13:30

Lunch and Break

Lunch and Break

Lunch and Break

Lunch and Break

13:30-14:30


Tutorial 2
(LT3)
Reinforcement
Learning for
Real:
Are we
there yet?

Workshop 2
(LT4)
Workshop on
Large
Language,
Multi-modal
and Decision
Models

Workshop 3
(LT6)
Sample-
Efficient
Reinforcement
Learning

Workshop 1
(LT3)
Continual
Learning:
Fundamentals
and Advances

Workshop 5
(LT4)
Multi-agent
Systems in
Complex
Environments

Workshop 6
(LT6)
Generative
Artificial
Intelligence:
From
Algorithm to
Scientific
Discovery

Keynote 2
(LT1A)
Yuhuai(Tony) Wu
Chair: Weinan Zhang

Keynote 4
(LT1A)
Joseph Sung
Chair: Bo An

14:30-15:00

Tea Break

Tea Break

Poster Session I
and Tea Break

Poster Session II
and Tea Break

15:00-15:20

Tutorial 2
(LT3)
Reinforcement
Learning for
Real:
Are we
there yet?

Workshop 2
(LT4)
Workshop on
Large
Language,
Multi-modal
and Decision
Models

Workshop 3
(LT6)
Sample-
Efficient
Reinforcement
Learning

Workshop 1
(LT3)
Continual
Learning:
Fundamentals
and Advances

Workshop 5
(LT4)
Multi-agent
Systems in
Complex
Environments

Workshop 6
(LT6)
Generative
Artificial
Intelligence:
From
Algorithm to
Scientific
Discovery

15:20-17:30

Session:
Game Theory
(LT1A)
Chair: Xiang
Yan

Session:
Multi-agent
Learning I -
Cooperative
MARL
(LT5)
Chair:
Zongzhang
Zhang

Session:
Multi-agent
Learning II -
Application
(LT1A)
Chair: Pinzhuo
Tian

Session:
Deep Learning
and Models
(LT5)
Chair: Xinrun
Wang

17:30-18:00

     

Closing

18:00-21:00

   

Banquet

 



Paper List

Session: Game Theory

Chair: Xiang Yan

Dec. 2, 2023, 15:20-17:30

1. Cost Sharing under Private Costs and Connection Control on Directed Acyclic Graphs (DAI'23)

Authors: Tianyi Zhang, Dengji Zhao, Junyu Zhang and Sizhe Gu

2. On Two-round Auctions. (DAI'23)

Authors: Chulong Zhong, Xiang Yan, Yuyi Wang, Shuangping Huang and Jin Zhong

3. Connection Incentives in Cost Sharing Mechanisms with Budgets (DAI'23)

Authors: Tianyi Zhang, Dengji Zhao, Junyu Zhang and Sizhe Gu

4. Fairness in the Assignment Problem with Uncertain Priorities (AAMAS'23)

Authors: Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, and Kamesh Munagala

5. Computing Optimal Nash Equilibria in Multiplayer Games (NeurIPS'23)

Authors: Youzhi Zhang, Bo An, and V.S. Subrahmanian

6. Cost Sharing under Private Valuation and Connection Control (AAMAS'23)

Authors: Tianyi Zhang, Junyu Zhang, Sizhe Gu, and Dengji Zhao



Session: Multi-agent Learning I - Cooperative MARL

Chair: Zongzhang Zhang

Dec. 2, 2023, 15:20-17:30

1.Learning to Coordinate with Anyone (DAI'23)

Authors: Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu and Zhi-Hua Zhou

2.RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution (ICML'23)

Authors: Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, and Xian Fu

3. Order Matters: Agent-by-agent Policy Optimization (ICLR'23)

Authors: Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, and Weinan Zhang

4. Cooperative Open-ended Learning Framework for Zero-Shot Coordination (ICML'23)

Authors: Yang Li*, Shao Zhang*, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, and Wei Pan

5. Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data (ICLR'23)

Authors: Fuxiang Zhang*, Chengxing Jia*, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang

6. Adversarial Inverse Reinforcement Learning for Mean Field Games (AAMAS'23)

Authors: Yang Chen, Libo Zhang, Jiamou Liu, and Michael Witbrock



Session: Multi-agent Learning II - Application

Chair: Pinzhuo Tian

Dec. 3, 2023, 15:20-17:30

1. Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning (WWW'23)

Authors: Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang

2. Collaboration Helps Camera Overtake LiDAR in 3D Detection (CVPR'23)

Authors: Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, and Yanfeng Wang

3. Where2comm: Communication-efficient Collaborative Perception via Spatial Confidence Maps (NeurIPS'22)

Authors: Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, and Siheng Chen

4. RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow (DAI'23)

Authors: Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqin Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao and Yong Yu

5. Multi-Agent Planning and Diagnosis with Commonsense Reasoning (DAI'23)

Authors: Tran Cao Son, William Yeoh, Roni Stern and Meir Kalech



Session: Reinforcement Learning I - Single Agent RL

Chair: Mengchen Zhao

Dec. 2, 2023, 10:30-12:30

1. Backtracking Exploration for Reinforcement Learning (DAI'23)

Authors: Xingguo Chen, Zening Chen, Dingyuanhao Sun and Yang Gao

2. Internal Logical Induction for Pixel-Symbolic Reinforcement Learning (KDD'23)

Authors: Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, and Yang Yu

3. Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval (DAI'23)

Authors: Yao Li, Yifan Liu, Xinyi Dai, Jianghao Lin, Hang Lai, Yunfei Liu and Yong Yu



Session: Reinforcement Learning II - Pre-train Model

Chair: Ying Wen

Dec. 3, 2023, 10:30 - 12:30

1. Become a Proficient Player with Limited Data through Watching Pure Videos (ICLR'23)

Authors: Weirui Ye*, Yunsheng Zhang*, Pieter Abbeel, Yang Gao

2. For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal (ICML'23)

Authors: Yingdong Hu, Renhao Wang, Li Erran Li, and Yang Gao

3. Large Sequence Models for Sequential Decision-making: A Survey (Frontiers of Computer Science 17, 6, Article 176349)

Authors: Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, and Weinan Zhang

4. GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models (ICML'23)

Authors: Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, and Luo Mai

5. DCAC: Reducing Unnecessary Conservatism in Offline-to-online Reinforcement Learning (DAI'23)

Authors: Dongxiang Chen and Ying Wen



Session: Reinforcement Learning III - Offline RL and Imitation Learning

Chair: Youzhi Zhang

Dec. 3, 2023, 10:30 - 12:30

1. Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning (ICML'23)

Authors: Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, and Yang Yu

2. Reining Generalization in Offline Reinforcement Learning via Representation Distinction (NeurIPS'23)

Authors: Yi Ma, Hongyao Tang, Dong Li, and Zhaopeng Meng

3. Policy Regularization with Dataset Constraint for Offline Reinforcement Learning (ICML'23)

Authors: Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, and Yang Yu

4. Policy Contrastive Imitation Learning (ICML'23)

Authors: Jialei Huang, Zhao-Heng Yin, Yingdong Hu, and Yang Gao

5. ROMO: Retrieval-enhanced Offline Model-based Optimization (DAI'23)

Authors: Mingcheng Chen, Haoran Zhao, Yuxiang Zhao, Hulei Fan, Hongqiao Gao, Yong Yu and Zheng Tian



Session: Deep Learning and Models

Chair: Xinrun Wang

Dec. 3, 2023, 15:20 - 17:30

1. Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification (ECML/PKDD'23)

Authors: Junru Zhang, Lang Feng, Haowen Zhang, Yuhan Wu, and Yabo Dong

2. SACAT: Student-Adaptive Computerized Adaptive Testing (DAI'23)

Authors: Jingwei Yu, Mu Zhenyu, Jiayi Lei, Li'Ang Yin, Wei Xia, Yong Yu and Ting Long

3. Auditing for Federated Learning: A Model Elicitation Approach (DAI'23)

Authors: Yang Liu, Rixing Lou and Jiaheng Wei

4. MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL (ICML'23)

Authors: Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, and Zhixuan Liang



Session: Robotics

Chair: Huazhe Xu

Dec. 2, 2023, 10:30 - 12:30

1. D4W: Dependable Data-Driven Dynamics For Wheeled Robots (DAI'23)

Authors: Yunfeng Lin, Minghuan Liu and Yong Yu

2. A Universal Semantic-Geometric Representation for Robotic Manipulation (CoRL'23)

Authors: Tong Zhang, Yingdong Hu, Hanchen Cui, Hang Zhao, and Yang Gao

3. Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios (DAI'23)

Authors: Xinyuan Wu, Wentao Dong, Hang Lai, Yong Yu and Ying Wen

4. EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model (ICLR'23)

Authors: Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

5. A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving (CIKM'23)

Authors: Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, and Jianye Hao

Poster Presentations

Session I

Dec. 2, 2023, 14:30-15:20

1. Transfer Learning-based Doubly Robust Debias Learning Recommendation

Authors: Zhongqi Miao and Xiangrong Tong

2. A Review of Offline Model-based Optimization

Authors: Mingcheng Chen

3. MADiff: Offline Multi-agent Learning with Diffusion Models

Authors: Zhengbang Zhu

4. Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem

Authors: Jingxiao Chen

5. Alphazero-like Tree-Search can guide large language model decoding and training

Authors: Ziyu Wan

6. Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation

Authors: Chengxing Jia, Fuxiang Zhang and Yi-chen Li

7. Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation

Authors: Zhilong Zhang, Yihao Sun, Junyin Ye, Tianshuo Liu, Jiaji Zhang, Honglong Tian and Yang Yu

8. Horizontal Federated Learning For Brain-Computer Interface

Authors: Kairui Hu, Rui Liu and Han Yu



Session II

Dec. 3, 2023, 14:30-15:20

1. Efficient Team Cooperation in Mixed Coorperative-Competitive Game

Authors: Naming Liu

2. A Deep Q-Network Algorithm with Two-Level Neural Network in Real-Time Strategy Games

Authors: Yongshan Chen

3. Lifelong Multi-Agent Path Finding in Real-World Scenarios

Authors: Chaoran Li

4. Foresight Distribution Adjustment for Off-policy Reinforcement Learning

Authors: Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu and Yang Yu

5. Multi-agent Continual Coordination via Progressive Task Contextualization

Authors: Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan and Yang Yu

6. Language Model Self-improvement by Reinforcement Learning Contemplation

Authors: Jingcheng Pang, Pengyuan Wang, Nan Tang, Kaiyuan Li, Xionghui Chen, Jiacheng Xu, Zongzhang Zhang and Yang Yu

7. FedSM: Federated Spectrum Management for 6G Network

Authors: Mingwei Jin

8. Personalised Head Movement Pattern Detection and Adaptation for Gaze-Based Interaction

Authors: Xindi Tong and Rosanna Chan