On the structural properties of small-world networks with finite range of shortcut links - Tao Jia; Rahul V. Kulkarni (CoRR, 2011)

Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation. - Xiaohua Xu; Niraj Kumar 006; Arjun Krishnan; Rahul V. Kulkarni (CDC, 2013)

Approximate statistical dynamics of a genetic feedback circuit. - Mohammad Soltani; Cesar Augusto Vargas Garcia; Niraj Kumar 006; Rahul V. Kulkarni; Abhyudai Singh (ACC, 2015)

Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models. - Niraj Kumar 006; Abhyudai Singh; Rahul V. Kulkarni (PLoS Comput. Biol., 2015)

A Free Energy Based Approach for Distance Metric Learning. - Sho Inaba; Carl Tony Fakhry; Rahul V. Kulkarni; Kourosh Zarringhalam (KDD, 2019)

Modulation of stochastic gene expression by nuclear export processes. - Madeline Smith; Mohammad Soltani; Rahul V. Kulkarni; Abhyudai Singh (CDC, 2021)

Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning. - Argenis Arriojas; Stas Tiomkin; Rahul V. Kulkarni (CoRR, 2021)

Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. - Jacob Adamczyk; Argenis Arriojas; Stas Tiomkin; Rahul V. Kulkarni (AAAI, 2023)

Bounding the optimal value function in compositional reinforcement learning. - Jacob Adamczyk; Volodymyr Makarenko; Argenis Arriojas; Stas Tiomkin; Rahul V. Kulkarni (UAI, 2023)

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics. - Argenis Arriojas; Jacob Adamczyk; Stas Tiomkin; Rahul V. Kulkarni (UAI, 2023)

Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning. - Jacob Adamczyk; Stas Tiomkin; Rahul V. Kulkarni (CoRR, 2023)

Boosting Soft Q-Learning by Bounding. - Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni (RLJ, 2024)

Bootstrapped Reward Shaping. - Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni (AAAI, 2025)

Average-Reward Reinforcement Learning with Entropy Regularization. - Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni (CoRR, 2025)

EVAL: EigenVector-based Average-reward Learning. - Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni (CoRR, 2025)