Follow
Elad Sarafian
Elad Sarafian
PhD Student, Bar-Ilan University, Israel
Verified email at cs.biu.ac.il
Title
Cited by
Cited by
Year
Recomposing the reinforcement learning building blocks with hypernetworks
E Sarafian, S Keynan, S Kraus
International Conference on Machine Learning, 9301-9312, 2021
232021
Safe policy learning from observations
E Sarafian, A Tamar, S Kraus
122018
Explicit Gradient Learning for Black-Box Optimization.
E Sarafian, M Sinay, Y Louzoun, N Agmon, S Kraus
ICML, 8480-8490, 2020
112020
Constrained Policy Improvement for Efficient Reinforcement Learning.
E Sarafian, A Tamar, S Kraus
IJCAI, 2863-2871, 2020
102020
A coupled flow approach to imitation learning
GJ Freund, E Sarafian, S Kraus
International Conference on Machine Learning, 10357-10372, 2023
92023
A domain adaptation approach for performance estimation of spatial predictions
R Sarafian, I Kloog, E Sarafian, I Hough, JD Rosenblatt
IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5197-5205, 2020
82020
Analyzing and overcoming degradation in warm-start reinforcement learning
B Wexler, E Sarafian, S Kraus
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
42022
Constrained policy improvement for safe and efficient reinforcement learning
E Sarafian, A Tamar, S Kraus
arXiv preprint arXiv:1805.07805, 2018
22018
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
S Keynan, E Sarafian, S Kraus
arXiv preprint arXiv:2106.06842, 2021
2021
Explicit Gradient Learning
M Sinay, E Sarafian, Y Louzoun, N Agmon, S Kraus
arXiv preprint arXiv:2006.08711, 2020
2020
Imaging curved shaped objects in underground media
E Sarafian
Ben-Gurion University of the Negev, 2011
2011
Imaging buried objects in layered media using MUSIC algorithm
E Sarafian, A Shlivinski
2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel …, 2010
2010
Analyzing and Overcoming Degradation in Warm-Start Off-Policy Reinforcement Learning
B Wexler, E Sarafian, S Kraus
The system can't perform the operation now. Try again later.
Articles 1–13