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cs.LG2022
Multi-User Reinforcement Learning with Low Rank Rewards
Naman Agarwal, Prateek Jain, Suhas Kowshik +2
In this work, we consider the problem of collaborative multi-user reinforcement learning. In this setting there are multiple users with the same state-action space and transition p…
cs.IT2022
Improved bounds for the many-user MAC
Suhas S Kowshik
Many-user MAC is an important model for understanding energy efficiency of massive random access in 5G and beyond. Introduced in Polyanskiy'2017 for the AWGN channel, subsequent wo…