Rahul V. Kulkarni

According to our database, Rahul V. Kulkarni authored at least 12 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Boosting Soft Q-Learning by Bounding.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

RLJ, 2024

2023

Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning.

Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni

CoRR, 2023

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics.

Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bounding the optimal value function in compositional reinforcement learning.

Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning.

Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning.

Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni

CoRR, 2021

Modulation of stochastic gene expression by nuclear export processes.

Madeline Smith, Mohammad Soltani, Rahul V. Kulkarni, Abhyudai Singh

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

A Free Energy Based Approach for Distance Metric Learning.

Sho Inaba, Carl Tony Fakhry, Rahul V. Kulkarni, Kourosh Zarringhalam

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2015

Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models.

Niraj Kumar, Abhyudai Singh, Rahul V. Kulkarni

PLoS Comput. Biol., 2015

Approximate statistical dynamics of a genetic feedback circuit.

Mohammad Soltani, Cesar Augusto Vargas Garcia, Niraj Kumar, Rahul V. Kulkarni, Abhyudai Singh

Proceedings of the American Control Conference, 2015

2013

Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation.

Xiaohua Xu, Niraj Kumar, Arjun Krishnan, Rahul V. Kulkarni

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2011

On the structural properties of small-world networks with finite range of shortcut links

Tao Jia, Rahul V. Kulkarni

CoRR, 2011