Nir Levine

According to our database, Nir Levine authored at least 14 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis.

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

Mach. Learn., 2021

Task-agnostic Continual Learning with Hybrid Probabilistic Models.

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

CoRR, 2021

Balancing Constraints and Rewards with Meta-Gradient D4PG.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Neural Rate Control for Video Encoding using Imitation Learning.

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

CoRR, 2020

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

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

CoRR, 2020

A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs.

Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy A. Mann, Martin A. Riedmiller

Proceedings of the 8th International Conference on Learning Representations, 2020

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

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

Proceedings of the 8th International Conference on Learning Representations, 2020

Improved Knowledge Distillation via Teacher Assistant.

Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

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

CoRR, 2019

2017

An Extended Relevance Model for Session Search.

Nir Levine, Haggai Roitman, Doron Cohen

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Shallow Updates for Deep Reinforcement Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Rotting Bandits.

Nir Levine, Koby Crammer, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Actively Learning to Attract Followers on Twitter.

Nir Levine, Timothy A. Mann, Shie Mannor

CoRR, 2015