no code implementations • 6 Mar 2024 • Tirza Biron, Moshe Barboy, Eran Ben-Artzy, Alona Golubchik, Yanir Marmor, Smadar Szekely, Yaron Winter, David Harel
Non-verbal signals in speech are encoded by prosody and carry information that ranges from conversation action to attitude and emotion.
no code implementations • 25 Dec 2023 • Assaf Marron, Smadar Szekely, Irun R. Cohen, David Harel
Recognized effects of sexual reproduction and other forms of biparental reproduction in species sustainment and evolution include the increasing of diversity, accelerating adaptation, constraining the accumulation of deleterious mutations, and the homogenization of species genotype.
no code implementations • 7 May 2023 • David Harel, Assaf Marron
In his seminal paper ``Computing Machinery and Intelligence'', Alan Turing introduced the ``imitation game'' as part of exploring the concept of machine intelligence.
no code implementations • 20 Jun 2022 • Davide Corsi, Raz Yerushalmi, Guy Amir, Alessandro Farinelli, David Harel, Guy Katz
Deep reinforcement learning (DRL) has achieved groundbreaking successes in a wide variety of robotic applications.
no code implementations • 26 May 2022 • Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli, Guy Katz
Our work is the first to establish the usefulness of DNN verification in identifying and filtering out suboptimal DRL policies in real-world robots, and we believe that the methods presented here are applicable to a wide range of systems that incorporate deep-learning-based agents.
no code implementations • 9 Feb 2022 • Raz Yerushalmi, Guy Amir, Achiya Elyasaf, David Harel, Guy Katz, Assaf Marron
In this work-in-progress report, we propose a technique for enhancing the reinforcement learning training process (specifically, its reward calculation), in a way that allows human engineers to directly contribute their expert knowledge, making the agent under training more likely to comply with various relevant constraints.
no code implementations • 16 Jan 2020 • Assaf Marron, Lior Limonad, Sarah Pollack, David Harel
When developing autonomous systems, engineers and other stakeholders make great effort to prepare the system for all foreseeable events and conditions.