no code implementations • 30 Mar 2020 • Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
The AI-alignment problem arises when there is a discrepancy between the goals that a human designer specifies to an AI learner and a potential catastrophic outcome that does not reflect what the human designer really wants.
3 code implementations • 21 Aug 2017 • Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
In the second part we describe a design of a system that adheres to our safety assurance requirements and is scalable to millions of cars.
no code implementations • 2 Jun 2017 • Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
Exploiting the great expressive power of Deep Neural Network architectures, relies on the ability to train them.
1 code implementation • ICML 2017 • Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
In recent years, Deep Learning has become the go-to solution for a broad range of applications, often outperforming state-of-the-art.
no code implementations • 11 Oct 2016 • Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
Second, the Markov Decision Process model often used in robotics is problematic in our case because of unpredictable behavior of other agents in this multi-agent scenario.