WA4b: Reinforcement Learning for Autonomous Systems
Wed, 29 Oct, 10:15 - 11:30 PT (UTC -7)
Location: Nautilus
Session Type: Lecture
Track: Adaptive Systems, Machine Learning, and Data Analytics
Wed, 29 Oct, 10:15 - 10:40 PT (UTC -7)

WA4b.1: A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications
Ozan Aygun, New York University, United States; Vincenzo Norman Vitale, Antonia Tulino, University of Naples Federico II, Italy; Hao Feng, Intel Labs, United States; Elza Erkip, New York University, United States; Jaime Llorca, University of Trento, Italy
Wed, 29 Oct, 10:40 - 11:05 PT (UTC -7)

WA4b.2: SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twins
Aladin Djuhera, Amin Seffo, Vlad Andrei, Holger Boche, Technical University of Munich, Germany; Walid Saad, Virginia Tech, United States
Wed, 29 Oct, 11:05 - 11:30 PT (UTC -7)

WA4b.3: Feedback-Assisted Decentralized Q-Learning for Dynamic Spectrum Access
Ghilas Aissou, Salman Habib, Arizona State University, United States; Rémi Chou, The University of Texas at Arlington, United States; Taejoon Kim, Arizona State University, United States