Rahul V. Kulkarni

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 10

Top Topics

Stochastic Models

Reinforcement Learning

Top Venues

Publications

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
Boosting Soft Q-Learning by Bounding. CoRR (2024)
Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Bounding the optimal value function in compositional reinforcement learning. UAI (2023)
Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Bounding the Optimal Value Function in Compositional Reinforcement Learning. CoRR (2023)
Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics. UAI (2023)
Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni
Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning. CoRR (2023)
Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. AAAI (2023)
Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. CoRR (2022)
Madeline Smith, Mohammad Soltani, Rahul V. Kulkarni, Abhyudai Singh
Modulation of stochastic gene expression by nuclear export processes. CDC (2021)
Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning. CoRR (2021)
Sho Inaba, Carl Tony Fakhry, Rahul V. Kulkarni, Kourosh Zarringhalam
A Free Energy Based Approach for Distance Metric Learning. KDD (2019)
Niraj Kumar, Abhyudai Singh, Rahul V. Kulkarni
Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models. PLoS Comput. Biol. 11 (10) (2015)
Mohammad Soltani, Cesar Augusto Vargas Garcia, Niraj Kumar, Rahul V. Kulkarni, Abhyudai Singh
Approximate statistical dynamics of a genetic feedback circuit. ACC (2015)
Xiaohua Xu, Niraj Kumar, Arjun Krishnan, Rahul V. Kulkarni
Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation. CDC (2013)
Tao Jia, Rahul V. Kulkarni
On the structural properties of small-world networks with finite range of shortcut links CoRR (2011)