Search Results for author: Shaked Shammah

Found 5 papers, 2 papers with code

On the Ethics of Building AI in a Responsible Manner

no code implementations30 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.

BIG-bench Machine Learning Ethics

On a Formal Model of Safe and Scalable Self-driving Cars

3 code implementations21 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.

Autonomous Driving Self-Driving Cars

Weight Sharing is Crucial to Succesful Optimization

no code implementations2 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.

Failures of Gradient-Based Deep Learning

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.

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

no code implementations11 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.

Autonomous Driving Multi-agent Reinforcement Learning +3

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