2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

MLSP-25: Reinforcement Learning 1

Session Type: Poster
Time: Thursday, 10 June, 13:00 - 13:45
Location: Gather.Town
Session Chair: Chang Yoo, Korea Advanced Institute of Science and Technology
 
MLSP-25.1: COOPERATIVE SCENARIOS FOR MULTI-AGENT REINFORCEMENT LEARNING IN WIRELESS EDGE CACHING
         Navneet Garg; University of Edinburgh
         Tharmalingam Ratnarajah; University of Edinburgh
 
MLSP-25.2: ROBUST DEEP REINFORCEMENT LEARNING FOR UNDERWATER NAVIGATION WITH UNKNOWN DISTURBANCES
         Juan Parras; Universidad Politécnica de Madrid
         Santiago Zazo; Universidad Politécnica de Madrid
 
MLSP-25.3: ONLINE HYPER-PARAMETER TUNING FOR THE CONTEXTUAL BANDIT
         Djallel Bouneffouf; IBM Research
         Emmanuelle Claeys; Strasbourg University
 
MLSP-25.4: DOUBLE-LINEAR THOMPSON SAMPLING FOR CONTEXT-ATTENTIVE BANDITS
         Djallel Bouneffouf; IBM Research
         Raphael Feraud; Orange
         Sohini Upadhyay; IBM Research
         Yasaman Khazaeni; Universite de montreal
         Irina Rish; Universite de montreal
 
MLSP-25.5: ON THE MARGINAL BENEFIT OF ACTIVE LEARNING: DOES SELF-SUPERVISION EAT ITS CAKE?
         Yao-Chun Chan; University of California, Riverside
         Mingchen Li; University of California, Riverside
         Samet Oymak; University of California, Riverside
 
MLSP-25.6: ROBUST MAML: PRIORITIZATION TASK BUFFER WITH ADAPTIVE LEARNING PROCESS FOR MODEL-AGNOSTIC META-LEARNING
         Thanh Nguyen; Korea Advanced Institute of Science and Technology (KAIST)
         Tung Luu; Korea Advanced Institute of Science and Technology (KAIST)
         Trung Pham; Korea Advanced Institute of Science and Technology (KAIST)
         Sanzhar Rakhimkul; Korea Advanced Institute of Science and Technology (KAIST)
         Chang Dong Yoo; Korea Advanced Institute of Science and Technology (KAIST)