1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
Shai Keynan, Elad Sarafian, Sarit Kraus
The Reinforcement Learning (RL) building blocks, i.e. Q-functions and policy networks, usually take elements from the cartesian product of two domains as input. In particular, the…
cs.LG2020
Explicit Gradient Learning
Mor Sinay, Elad Sarafian, Yoram Louzoun +2
Black-Box Optimization (BBO) methods can find optimal policies for systems that interact with complex environments with no analytical representation. As such, they are of interest…
cs.LG2018
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning
Elad Sarafian, Aviv Tamar, Sarit Kraus
We propose a policy improvement algorithm for Reinforcement Learning (RL) which is called Rerouted Behavior Improvement (RBI). RBI is designed to take into account the evaluation e…