Rahul Kulkarni

Rahul Kulkarni

University of Massachusetts Boston

H-index: 24

North America-United States

About Rahul Kulkarni

Rahul Kulkarni, With an exceptional h-index of 24 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Massachusetts Boston, specializes in the field of Biological Physics, Non-equilibrium statistical mechanics, stochastic gene expression, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics

Bounding the Optimal Value Function in Compositional Reinforcement Learning

Utilizing prior solutions for reward shaping and composition in entropy-regularized reinforcement learning

Entropy regularized reinforcement learning using large deviation theory

Modulation of stochastic gene expression by nuclear export processes

Amplification and attenuation of noisy expression by export processes

Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning.

Rahul Kulkarni Information

University

Position

Professor Department of Physics

Citations(all)

3362

Citations(since 2020)

904

Cited By

2875

hIndex(all)

24

hIndex(since 2020)

14

i10Index(all)

37

i10Index(since 2020)

16

Email

University Profile Page

University of Massachusetts Boston

Google Scholar

View Google Scholar Profile

Rahul Kulkarni Skills & Research Interests

Biological Physics

Non-equilibrium statistical mechanics

stochastic gene expression

machine learning

Top articles of Rahul Kulkarni

Title

Journal

Author(s)

Publication Date

Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning

arXiv preprint arXiv:2302.09676

Jacob Adamczyk

Stas Tiomkin

Rahul Kulkarni

2023/2

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics

Argenis Arriojas

Jacob Adamczyk

Stas Tiomkin

Rahul V Kulkarni

2023/7/2

Bounding the Optimal Value Function in Compositional Reinforcement Learning

Jacob Adamczyk

Volodymyr Makarenko

Argenis Arriojas

Stas Tiomkin

Rahul V Kulkarni

2023/7/2

Utilizing prior solutions for reward shaping and composition in entropy-regularized reinforcement learning

Proceedings of the AAAI Conference on Artificial Intelligence

Jacob Adamczyk

Argenis Arriojas

Stas Tiomkin

Rahul V Kulkarni

2023/6/26

Entropy regularized reinforcement learning using large deviation theory

Physical Review Research

Argenis Arriojas

Jacob Adamczyk

Stas Tiomkin

Rahul V Kulkarni

2023/5/10

Modulation of stochastic gene expression by nuclear export processes

Madeline Smith

Mohammad Soltani

Rahul Kulkarni

Abhyudai Singh

2021/12/14

Amplification and attenuation of noisy expression by export processes

bioRxiv

Madeline Smith

Mohammad Soltani

Rahul Kulkarni

Abhyudai Singh

2021/10/9

Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning.

CoRR

Argenis Arriojas

Stas Tiomkin

Rahul V Kulkarni

2021

See List of Professors in Rahul Kulkarni University(University of Massachusetts Boston)

Co-Authors

H-index: 86
Ned S. Wingreen

Ned S. Wingreen

Princeton University

H-index: 51
Jun (Jay) Zhu

Jun (Jay) Zhu

University of Pennsylvania

H-index: 40
Daniel L Cox

Daniel L Cox

University of California, Davis

H-index: 30
Eivind Almaas

Eivind Almaas

Norges teknisk-naturvitenskaplige universitet

H-index: 15
Tao Jia

Tao Jia

Southwest University

H-index: 12
Niraj Kumar

Niraj Kumar

University of Massachusetts Boston

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