Rahul V. Kulkarni

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Maximum Entropy Exploration Without the Rollouts. CoRR Jacob Adamczyk, Adam Kamoski, Rahul V. Kulkarni
2026	J	`jnl`	Thermodynamics of Reinforcement Learning Curricula. CoRR Jacob Adamczyk, Juan Sebastian Rojas, Rahul V. Kulkarni
2025	J	`jnl`	Average-Reward Reinforcement Learning with Entropy Regularization. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2025	A*	`conf`	Bootstrapped Reward Shaping. AAAI Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2025	J	`jnl`	Bootstrapped Reward Shaping. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2025	J	`jnl`	EVAL: EigenVector-based Average-reward Learning. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2024	J	`jnl`	Boosting Soft Q-Learning by Bounding. RLJ Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2024	J	`jnl`	Boosting Soft Q-Learning by Bounding. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2023	A	`conf`	Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics. UAI Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni
2023	J	`jnl`	Bounding the Optimal Value Function in Compositional Reinforcement Learning. CoRR Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2023	A	`conf`	Bounding the optimal value function in compositional reinforcement learning. UAI Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2023	J	`jnl`	Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning. CoRR Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni
2023	A*	`conf`	Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. AAAI Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2022	J	`jnl`	Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. CoRR Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2021	J	`jnl`	Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning. CoRR Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2021	—	`conf`	Modulation of stochastic gene expression by nuclear export processes. CDC Madeline Smith, Mohammad Soltani, Rahul V. Kulkarni, Abhyudai Singh
2019	A*	`conf`	A Free Energy Based Approach for Distance Metric Learning. KDD Sho Inaba, Carl Tony Fakhry, Rahul V. Kulkarni, Kourosh Zarringhalam
2015	C	`conf`	Approximate statistical dynamics of a genetic feedback circuit. ACC Mohammad Soltani, Cesar Augusto Vargas Garcia, Niraj Kumar, Rahul V. Kulkarni, Abhyudai Singh
2015	J	`jnl`	Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models. PLoS Comput. Biol. Niraj Kumar, Abhyudai Singh, Rahul V. Kulkarni
2013	—	`conf`	Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation. CDC Xiaohua Xu, Niraj Kumar, Arjun Krishnan, Rahul V. Kulkarni
2011	J	`jnl`	On the structural properties of small-world networks with finite range of shortcut links CoRR Tao Jia, Rahul V. Kulkarni

Year

Rank

Type

Title / Venue / Authors

2026

jnl

Maximum Entropy Exploration Without the Rollouts.

CoRR

Jacob Adamczyk, Adam Kamoski, Rahul V. Kulkarni

2026

jnl

Thermodynamics of Reinforcement Learning Curricula.

CoRR

Jacob Adamczyk, Juan Sebastian Rojas, Rahul V. Kulkarni

2025

jnl

Average-Reward Reinforcement Learning with Entropy Regularization.

CoRR