5 citations · 5 across the 3 of their papers we have counts for
4 papers
Scenario-Assisted Deep Reinforcement Learning
Raz Yerushalmi, Guy Amir, Achiya Elyasaf +3
Deep reinforcement learning has proven remarkably useful in training agents from unstructured data. However, the opacity of the produced agents makes it difficult to ensure that th…
Integrating Inter-Object Scenarios with Intra-object Statecharts for Developing Reactive Systems
David Harel, Rami Marelly, Assaf Marron +1
In all software development projects, engineers face the challenge of translating the requirements layer into a design layer, then into an implementation-code layer, and then valid…
Deciphering the underlying mechanisms of the pharyngeal motions in Caenorhabditis elegans
Dana Sherman, David Harel
The pharynx of the nematode Caenorhabditis elegans is a neuromuscular pump that exhibits two typical motions: pumping and peristalsis. While the dynamics of these motions are well…
Wise Computing: Towards Endowing System Development with True Wisdom
David Harel, Guy Katz, Rami Marelly +1
Encouraged by significant advances in algorithms and tools for verification and analysis, high level modeling and programming techniques, natural language programming, etc., we fee…