DAI 2023 - Accepted Papers

Conference Proceedings on ACM DL

Full Papers

Dongxiang Chen and Ying Wen. DCAC: Reducing Unnecessary Conservatism in Offline-to-online Reinforcement Learning.
Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu and Zhi-Hua Zhou. Learning to Coordinate with Anyone. (Best Paper Award)
Jingwei Yu, Mu Zhenyu, Jiayi Lei, Li'Ang Yin, Wei Xia, Yong Yu and Ting Long. SACAT: Student-Adaptive Computerized Adaptive Testing.
Yao Li, Yifan Liu, Xinyi Dai, Jianghao Lin, Hang Lai, Yunfei Liu and Yong Yu. Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval.
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. RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. (Best Student Paper Award)
Chulong Zhong, Xiang Yan, Yuyi Wang, Shuangpin Huang, Jin Zhong, Minghuan Liu, Ziqin Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao and Yong Yu. On Two-round Auctions.
Yang Liu, Rixing Lou and Jiaheng Wei. Auditing for Federated Learning: A Model Elicitation Approach.
Yunfeng Lin, Minghuan Liu and Yong Yu. D4W: Dependable Data-Driven Dynamics For Wheeled Robots.
Mingcheng Chen, Haoran Zhao, Yuxiang Zhao, Hulei Fan, Hongqiao Gao, Yong Yu and Zheng Tian. ROMO: Retrieval-enhanced Offline Model-based Optimization.
Xinyuan Wu, Wentao Dong, Hang Lai, Yong Yu and Ying Wen. Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios.
Xingguo Chen, Zening Chen, Dingyuanhao Sun and Yang Gao. Backtracking Exploration for Reinforcement Learning.
Tianyi Zhang, Dengji Zhao, Junyu Zhang and Sizhe Gu. Connection Incentives in Cost Sharing Mechanisms with Budgets.
Tianyi Zhang, Dengji Zhao, Junyu Zhang and Sizhe Gu. Cost Sharing under Private Costs and Connection Control on Directed Acyclic Graphs.
Tran Cao Son, William Yeoh, Roni Stern and Meir Kalech. Multi-Agent Planning and Diagnosis with Commonsense Reasoning.