Követés
Nir Levine
Nir Levine
Research Engineer at DeepMind
E-mail megerősítve itt: google.com
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
9332020
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 110 (9), 2419-2468, 2021
3252021
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
1942023
Rotting bandits
N Levine, K Crammer, S Mannor
Advances in neural information processing systems 30, 2017
1192017
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
1112020
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
1082019
Shallow updates for deep reinforcement learning
N Levine, T Zahavy, DJ Mankowitz, A Tamar, S Mannor
Advances in Neural Information Processing Systems 30, 2017
522017
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
282019
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
262020
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
212020
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
212017
Task-agnostic continual learning with hybrid probabilistic models
P Kirichenko, M Farajtabar, D Rao, B Lakshminarayanan, N Levine, A Li, ...
arXiv preprint arXiv:2106.12772, 2021
142021
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
Advances in Neural Information Processing Systems 33, 12461-12471, 2020
102020
Actively learning to attract followers on Twitter
N Levine, TA Mann, S Mannor
arXiv preprint arXiv:1504.04114, 2015
32015
Robust reinforcement learning for continuous control with model misspecification
DJ Mankowitz, N Levine, RC Jeong, A Abdolmaleki, JT Springenberg, ...
US Patent App. 17/620,164, 2022
12022
Relevance model for session search
H Roitman, D Cohen, N Levine
US Patent 10,956,409, 2021
12021
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
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Cikkek 1–17