MO2.R4.2

Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources

Liam Cregg, Tamas Linder, Serdar Yuksel, Queen's University, Canada
Session:
Lossy Compression Applications
Track:
10: Source Coding and Data Compression
Location:
Omikron II
Presentation Time:
Mon, 8 Jul, 12:10 - 12:30
Session Chair:
Nir Weinberger, Technion - Israel Institute of Technology
Presentation
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Discussion
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Session MO2.R4
MO2.R4.1: Minimizing Distortion in Data Embedding Using LDGM Codes and the Cavity Method
Masoumeh Alinia, David Mitchell, New Mexico State University, United States
MO2.R4.2: Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources
Liam Cregg, Tamas Linder, Serdar Yuksel, Queen's University, Canada
MO2.R4.3: Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics
Dror Freirich, Nir Weinberger, Ron Meir, Technion, Israel
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