Rahul V. Kulkarni

According to our database1, Rahul V. Kulkarni authored at least 11 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning.
CoRR, 2023

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bounding the optimal value function in compositional reinforcement learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning.
CoRR, 2021

Modulation of stochastic gene expression by nuclear export processes.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019
A Free Energy Based Approach for Distance Metric Learning.
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.
PLoS Comput. Biol., 2015

Approximate statistical dynamics of a genetic feedback circuit.
Proceedings of the American Control Conference, 2015

2013
Stochastic modeling of dwell-time distributions during transcriptional pausing and initiation.
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
CoRR, 2011


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