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Task-agnostic Continual Learning with Hybrid Probabilistic Models


Jun 24, 2021
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu


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Neural Rate Control for Video Encoding using Imitation Learning


Dec 09, 2020
Hongzi Mao, Chenjie Gu, Miaosen Wang, Angie Chen, Nevena Lazic, Nir Levine, Derek Pang, Rene Claus, Marisabel Hechtman, Ching-Han Chiang, Cheng Chen, Jingning Han


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Balancing Constraints and Rewards with Meta-Gradient D4PG


Oct 13, 2020
Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy Mann


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A maximum-entropy approach to off-policy evaluation in average-reward MDPs


Jun 17, 2020
Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Gorur, Chris Harris, Dale Schuurmans


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An empirical investigation of the challenges of real-world reinforcement learning


Mar 24, 2020
Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester

* arXiv admin note: text overlap with arXiv:1904.12901 

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Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control


Sep 04, 2019
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui


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Robust Reinforcement Learning for Continuous Control with Model Misspecification


Jun 18, 2019
Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Timothy Mann, Todd Hester, Martin Riedmiller


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Shallow Updates for Deep Reinforcement Learning


Nov 02, 2017
Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor


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Rotting Bandits


Nov 02, 2017
Nir Levine, Koby Crammer, Shie Mannor


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Actively Learning to Attract Followers on Twitter


Apr 16, 2015
Nir Levine, Timothy A. Mann, Shie Mannor


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