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
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Paper Detail

Paper IDSPCOM-9.4
Paper Title ON INFORMATION ASYMMETRY IN ONLINE REINFORCEMENT LEARNING
Authors Ezra Tampubolon, Haris Ceribasic, Holger Boche, Technical University of Munich, Germany
SessionSPCOM-9: Online and Active Learning for Communications
LocationGather.Town
Session Time:Friday, 11 June, 14:00 - 14:45
Presentation Time:Friday, 11 June, 14:00 - 14:45
Presentation Poster
Topic Signal Processing for Communications and Networking: [SPCN-NETW] Networks and Network Resource allocation
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract In this work, we study the system of two interacting non-cooperative Q-learning agents, where one agent has the privilege of observing the other's actions. We show that this information asymmetry can lead to a stable outcome of population learning, which does not occur in an environment of general independent learners. Furthermore, we discuss the resulted post-learning policies, show that they are almost optimal in the underlying game sense, and provide numerical hints of almost welfare-optimal of the resulted policies.