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Robustness of Epinets against Distributional Shifts


Jul 01, 2022
Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy

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Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping


Jun 08, 2022
Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy

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Evaluating High-Order Predictive Distributions in Deep Learning


Feb 28, 2022
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy

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Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?


Oct 09, 2021
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy

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Reinforcement Learning, Bit by Bit


Mar 14, 2021
Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen

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Hypermodels for Exploration


Jun 12, 2020
Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy

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* Published as a conference paper at ICLR 2020 

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Langevin DQN


Feb 17, 2020
Vikranth Dwaracherla, Benjamin Van Roy

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* 5 figures, 14 pages 

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Motion-based Object Segmentation based on Dense RGB-D Scene Flow


Jul 24, 2018
Lin Shao, Parth Shah, Vikranth Dwaracherla, Jeannette Bohg

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* Accepted to IEEE Robotics and Automation Letters and selected by IROS'18 Program Committee for presentation at the Conference 

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