My ICASSP 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Create a login based on your email (takes less than one minute)
Perform 'Paper Search'
Select papers that you desire to save in your personalized schedule
Click on 'My Schedule' to see the current list of selected papers
Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2020 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

TU2.I: Reinforcement and Sequential Learning

Session Type: Poster

Time: Tuesday, 5 May, 16:30 - 18:30

Location: On-Demand

Session Chair: Jie Ding, University of Minnesota

TU2.I.1: HIERARCHICAL CACHING VIA DEEP REINFORCEMENT LEARNING

Alireza Sadeghi; University of Minnesota

Gang Wang; University of Minnesota

Georgios B. Giannakis; University of Minnesota

TU2.I.2: LEARNING NETWORK REPRESENTATION THROUGH REINFORCEMENT LEARNING

Siqi Shen; National University of Defense Technology

Yongquan Fu; National University of Defense Technology

Adele Lu Jia; China Agricultural University

Huayou Su; National University of Defense Technology

Qinglin Wang; National University of Defense Technology

Chengsong Wang; National University of Defense Technology

Yong Dou; National University of Defense Technology

TU2.I.3: ATTENTION-BASED CURIOSITY-DRIVEN EXPLORATION IN DEEP REINFORCEMENT LEARNING

Patrik Reizinger; Budapest University of Technology and Economics

Márton Szemenyei; Budapest University of Technology and Economics

TU2.I.4: STABILIZING MULTI-AGENT DEEP REINFORCEMENT LEARNING BY IMPLICITLY ESTIMATING OTHER AGENTS’ BEHAVIORS

Yue Jin; Tsinghua University

Shuangqing Wei; Louisiana State University

Jian Yuan; Tsinghua University

Xudong Zhang; Tsinghua University

Chao Wang; Tsinghua University

TU2.I.5: QOS-AWARE FLOW CONTROL FOR POWER-EFFICIENT DATA CENTER NETWORKS WITH DEEP REINFORCEMENT LEARNING

Penghao Sun; National Digital Switching System Engineering & Technological R&D Center

Zehua Guo; Beijing Institute of Technology

Sen Liu; Central South University

Julong Lan; Central South University

Yuxiang Hu; Central South University

TU2.I.6: IMPROVING THE SCALABILITY OF DEEP REINFORCEMENT LEARNING-BASED ROUTING WITH CONTROL ON PARTIAL NODES

Penghao Sun; National Digital Switching System Engineering & Technological R&D Center

Julong Lan; National Digital Switching System Engineering & Technological R&D Center

Zehua Guo; Beijing Institute of Technology

Yang Xu; Fudan University

Yuxiang Hu; National Digital Switching System Engineering & Technological R&D Center

TU2.I.7: GENERALIZED LINEAR BANDITS WITH SAFETY CONSTRAINTS

Sanae Amani; University of California, Santa Barbara

Mahnoosh Alizadeh; University of California, Santa Barbara

Christos Thrampoulidis; University of California, Santa Barbara

TU2.I.8: FROM VIDEO GAME TO REAL ROBOT: THE TRANSFER BETWEEN ACTION SPACES

Janne Karttunen; Karelics Oy

Anssi Kanervisto; University of Eastern Finland

Ville Kyrki; Aalto University

Ville Hautamäki; University of Eastern Finland

TU2.I.9: CORRELATED MULTI-ARMED BANDITS WITH A LATENT RANDOM SOURCE

Samarth Gupta; Carnegie Mellon University

Gauri Joshi; Carnegie Mellon University

Osman Yagan; Carnegie Mellon University

TU2.I.10: ADAPTIVE SEQUENTIAL INTERPOLATOR USING ACTIVE LEARNING FOR EFFICIENT EMULATION OF COMPLEX SYSTEMS

Luca Martino; Universidad Rey Juan Carlos

Daniel Heestermans Svendsen; Universitat de Valencia

Jorge Vicent; Universitat of Valencia and Magellium Company in Geoinformation and Image Processing

Gustau Camps-Valls; Universitat de Valencia

TU2.I.11: CONTINUAL LEARNING FOR INFINITE HIERARCHICAL CHANGE-POINT DETECTION

Pablo Moreno-Muñoz; Universidad Carlos III de Madrid

David Ramírez; Universidad Carlos III de Madrid

Antonio Artés-Rodríguez; Universidad Carlos III de Madrid