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Vijay Subramanian — most-cited papers & profile · Reinforcement Learning
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Vijay Subramanian
5
papers ·
4
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning
2021 · 2 citations
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
2021
Learning to Admit Optimally in an $M/M/k/k+N$ Queueing System with Unknown Service Rate
2022
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space
2023
Top co-authors
Hsu Kao
· 2
Saghar Adler
· 2
Chen-Yu Wei
· 1
Mehrdad Moharrami
· 1
Topics
Model-Based RL
Multi-Agent
Exploration
Value-Based
Safe RL