Nir Levine
Nir Levine
Research Engineer at DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Improved knowledge distillation via teacher assistant
SI Mirzadeh, M Farajtabar, A Li, N Levine, A Matsukawa, H Ghasemzadeh
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5191-5198, 2020
2172020
Rotting bandits
N Levine, K Crammer, S Mannor
arXiv preprint arXiv:1702.07274, 2017
522017
Shallow updates for deep reinforcement learning
N Levine, T Zahavy, DJ Mankowitz, A Tamar, S Mannor
arXiv preprint arXiv:1705.07461, 2017
392017
An empirical investigation of the challenges of real-world reinforcement learning
G Dulac-Arnold, N Levine, DJ Mankowitz, J Li, C Paduraru, S Gowal, ...
arXiv preprint arXiv:2003.11881, 2020
332020
Robust reinforcement learning for continuous control with model misspecification
DJ Mankowitz, N Levine, R Jeong, Y Shi, J Kay, A Abdolmaleki, ...
arXiv preprint arXiv:1906.07516, 2019
282019
Prediction, consistency, curvature: Representation learning for locally-linear control
N Levine, Y Chow, R Shu, A Li, M Ghavamzadeh, H Bui
arXiv preprint arXiv:1909.01506, 2019
122019
An extended relevance model for session search
N Levine, H Roitman, D Cohen
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
122017
Challenges of real-world reinforcement learning: definitions, benchmarks and analysis
G Dulac-Arnold, N Levine, DJ Mankowitz, J Li, C Paduraru, S Gowal, ...
Machine Learning, 1-50, 2021
72021
A maximum-entropy approach to off-policy evaluation in average-reward MDPs
N Lazic, D Yin, M Farajtabar, N Levine, D Gorur, C Harris, D Schuurmans
arXiv preprint arXiv:2006.12620, 2020
62020
Balancing Constraints and Rewards with Meta-Gradient D4PG
DA Calian, DJ Mankowitz, T Zahavy, Z Xu, J Oh, N Levine, T Mann
arXiv preprint arXiv:2010.06324, 2020
32020
Challenges of Real-World Reinforcement Learning: Definitions, Benchmarks & Analysis
C Paduraru, DJ Mankowitz, G Dulac-Arnold, J Li, N Levine, S Gowal, ...
22021
Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint
D Yin, M Farajtabar, A Li, N Levine, A Mott
arXiv preprint arXiv:2006.10974, 2020
22020
Actively learning to attract followers on Twitter
N Levine, TA Mann, S Mannor
arXiv preprint arXiv:1504.04114, 2015
22015
Task-agnostic Continual Learning with Hybrid Probabilistic Models
P Kirichenko, M Farajtabar, D Rao, B Lakshminarayanan, N Levine, A Li, ...
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021
2021
Relevance model for session search
H Roitman, D Cohen, N Levine
US Patent 10,956,409, 2021
2021
Neural Rate Control for Video Encoding using Imitation Learning
H Mao, C Gu, M Wang, A Chen, N Lazic, N Levine, D Pang, R Claus, ...
arXiv preprint arXiv:2012.05339, 2020
2020
Robust Reinforcement Learning for Continuous Control with Model Misspecification Open Website
DJ Mankowitz, N Levine, R Jeong, A Abdolmaleki, JT Springenberg, Y Shi, ...
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