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Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL


Dec 06, 2020
Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty


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Distributed Bandits: Probabilistic Communication on $d$-regular Graphs


Nov 16, 2020
Udari Madhushani, Naomi Ehrich Leonard


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LagNetViP: A Lagrangian Neural Network for Video Prediction


Oct 24, 2020
Christine Allen-Blanchette, Sushant Veer, Anirudha Majumdar, Naomi Ehrich Leonard


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Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control


Jul 03, 2020
Yaofeng Desmond Zhong, Naomi Ehrich Leonard


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Distributed Learning: Sequential Decision Making in Resource-Constrained Environments


Apr 13, 2020
Udari Madhushani, Naomi Ehrich Leonard


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A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem


Apr 08, 2020
Udari Madhushani, Naomi Ehrich Leonard


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Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits


Mar 03, 2020
Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard


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Heterogeneous Stochastic Interactions for Multiple Agents in a Multi-armed Bandit Problem


May 21, 2019
Udari Madhushani, Naomi Ehrich Leonard


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Satisficing in multi-armed bandit problems


Dec 19, 2016
Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard

* To appear in IEEE Transactions on Automatic Control 

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Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms


Sep 24, 2016
Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard

* arXiv admin note: substantial text overlap with arXiv:1512.06888 

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On Distributed Cooperative Decision-Making in Multiarmed Bandits


May 16, 2016
Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard


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Correlated Multiarmed Bandit Problem: Bayesian Algorithms and Regret Analysis


Jul 07, 2015
Vaibhav Srivastava, Paul Reverdy, Naomi Ehrich Leonard


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Cooperative learning in multi-agent systems from intermittent measurements


Dec 15, 2014
Naomi Ehrich Leonard, Alex Olshevsky


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