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Naman Agarwal

Variance-Reduced Conservative Policy Iteration

Dec 12, 2022
Naman Agarwal, Brian Bullins, Karan Singh

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Multi-User Reinforcement Learning with Low Rank Rewards

Oct 11, 2022
Naman Agarwal, Prateek Jain, Suhas Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli

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Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States

Feb 06, 2022
Julian Zimmert, Naman Agarwal, Satyen Kale

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Machine Learning for Mechanical Ventilation Control (Extended Abstract)

Nov 23, 2021
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan

* Machine Learning for Health (ML4H) at NeurIPS 2021 - Extended Abstract. arXiv admin note: substantial text overlap with arXiv:2102.06779

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The Skellam Mechanism for Differentially Private Federated Learning

Oct 29, 2021
Naman Agarwal, Peter Kairouz, Ziyu Liu

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* Paper published in NeurIPS 2021

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Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs

Oct 19, 2021
Naman Agarwal, Syomantak Chaudhuri, Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli

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* Under Review, V2 has updated acknowledgements

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