Rahul V. Kulkarni

21 papers A* 3A 2C 1Journal 13Unranked 2

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