MACb: Sequential Methods and Reinforcement Learning
Mon, 28 Oct, 10:15 - 11:55 PT (UTC -7)
Location: Chapel
Session Type: Lecture
Track: Adaptive Systems, Machine Learning, and Data Analytics
Mon, 28 Oct, 10:15 - 10:40 PT (UTC -7)

MACb.1: Modular Analysis of Change Detection Based Algorithms for Piecewise Stationary Bandits
Yu-Han Huang, Argyrios Gerogiannis, Subhonmesh Bose, Venugopal Veeravalli, University of Illinois at Urbana-Champaign, United States
Mon, 28 Oct, 10:40 - 11:05 PT (UTC -7)

MACb.2: Achieving the Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach
Yue Wang, University of Central Florida, United States; Jinjun Xiong, Shaofeng Zou, University at Buffalo, United States
Mon, 28 Oct, 11:05 - 11:30 PT (UTC -7)

MACb.3: Sinkhorn Distributionally Robust Optimization
Jie Wang, Georgia Institute of Technology, United States; Rui Gao, University of Texas at Austin, United States; Yao Xie, Georgia Institute of Technology, United States
Mon, 28 Oct, 11:30 - 11:55 PT (UTC -7)

MACb.4: Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
Laixi Shi, Eric Mazumdar, California Institute of Technology, United States; Yuejie Chi, Carnegie Mellon University, United States; Adam Wierman, California Institute of Technology, United States