IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
MLSP-35: Reinforcement Learning II
Wed, 11 May, 21:00 - 21:45 China Time (UTC +8)
Wed, 11 May, 13:00 - 13:45 UTC
Location: Gather Area H
Session Co-Chairs: Chang D Yoo, KAIST and Jochen Ehnes, Institute for Infocomm Research, A*STAR
Track: Machine Learning for Signal Processing

MLSP-35.1: DENOISING-ORIENTED DEEP HIERARCHICAL REINFORCEMENT LEARNING FOR NEXT-BASKET RECOMMENDATION
Qihan Du, Li Yu, Huiyuan Li, Youfang Leng, Ningrui Ou, Renmin University of China, China

MLSP-35.2: COMPETITIVE MULTI-AGENT REINFORCEMENT LEARNING WITH SELF-SUPERVISED REPRESENTATION
DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor, Princeton University, United States of America

MLSP-35.3: MODEL-BASED ONLINE LEARNING FOR RESOURCE SHARING IN JOINT RADAR-COMMUNICATION SYSTEMS
Petteri Pulkkinen, Aalto University, Saab Finland Oy, Finland; Visa Koivunen, Aalto University, Finland

MLSP-35.4: QRELATION: AN AGENT RELATION-BASED APPROACH FOR MULTI-AGENT REINFORCEMENT LEARNING VALUE FUNCTION FACTORIZATION
Siqi Shen, Jun Liu, Mengwei Qiu, Weiquan Liu, Cheng Wang, Xiamen University, China; Yongquan Fu, Qinglin Wang, Peng Qiao, National University of Defense Technology, China, China

MLSP-35.5: DENOISING-GUIDED DEEP REINFORCEMENT LEARNING FOR SOCIAL RECOMMENDATION
Qihan Du, Li Yu, Huiyuan Li, Youfang Leng, Ningrui Ou, Junyao Xiang, Renmin University of China, China