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Dive into the research topics where Rahul Kulkarni is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Bootstrapped Reward Shaping
Adamczyk, J., Makarenko, V., Tiomkin, S. & Kulkarni, R. V., Apr 11 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 15, p. 15302-15310 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Bayesian Inference Approach for Entropy Regularized Reinforcement Learning with Stochastic Dynamics
Arriojas, A., Adamczyk, J., Tiomkin, S. & Kulkarni, R. V., 2023, In: Proceedings of Machine Learning Research. 216, p. 99-109 11 p.Research output: Contribution to journal › Conference article › peer-review
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Bounding the Optimal Value Function in Compositional Reinforcement Learning
Adamczyk, J., Makarenko, V., Arriojas, A., Tiomkin, S. & Kulkarni, R. V., 2023, In: Proceedings of Machine Learning Research. 216, p. 22-32 11 p.Research output: Contribution to journal › Conference article › peer-review
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Entropy regularized reinforcement learning using large deviation theory
Arriojas, A., Adamczyk, J., Tiomkin, S. & Kulkarni, R. V., Apr 2023, In: Physical Review Research. 5, 2, 023085.Research output: Contribution to journal › Article › peer-review
Open Access -
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning
Adamczyk, J., Arriojas, A., Tiomkin, S. & Kulkarni, R. V., Jun 27 2023, AAAI-23 Technical Tracks 6. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 6658-6665 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access