Toward joint utilization of absolute and relative bandit feedback for conversational recommendation von Xia, Yu, Xie, Zhihui, Yu, Tong, Zhao, Canzhe, Li, Shuai

Volltext

Clustering of conversational bandits with posterior sampling for user preference learning and elicitation von Li, Qizhi, Zhao, Canzhe, Yu, Tong, Wu, Junda, Li, Shuai

Volltext

Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm von Kong, Fang, Zhao, Canzhe, Li, Shuai

Volltext bestellen

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model von Chen, Cheng, Zhao, Canzhe, Li, Shuai

Volltext bestellen

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback von Zhao, Canzhe, Yang, Ruofeng, Wang, Baoxiang, Zhang, Xuezhou, Li, Shuai

Volltext bestellen

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning von Zhao, Canzhe, Ze, Yanjie, Dong, Jing, Wang, Baoxiang, Li, Shuai

Volltext bestellen

Comparison-based Conversational Recommender System with Relative Bandit Feedback von Xie, Zhihui, Yu, Tong, Zhao, Canzhe, Li, Shuai

Volltext

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization von Zhao, Canzhe, Ze, Yanjie, Dong, Jing, Wang, Baoxiang, Li, Shuai

Volltext bestellen

Conservative Contextual Combinatorial Cascading Bandit von Wang, Kun, Zhao, Canzhe, Li, Shuai, Shao, Shuo

Volltext bestellen

Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm von Kong, Fang, Zhao, Canzhe, Li, Shuai

Volltext

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model von Chen, Cheng, Zhao, Canzhe, Li, Shuai

Volltext

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback von Zhao, Canzhe, Yang, Ruofeng, Wang, Baoxiang, Zhang, Xuezhou, Li, Shuai

Volltext

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning von Zhao, Canzhe, Ze, Yanjie, Dong, Jing, Wang, Baoxiang, Li, Shuai

Volltext

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization von Zhao, Canzhe, Ze, Yanjie, Dong, Jing, Wang, Baoxiang, Li, Shuai

Volltext

Conservative Contextual Combinatorial Cascading Bandit von Wang, Kun, Zhao, Canzhe, Li, Shuai, Shao, Shuo

Volltext