419 citations · 3.1k across the 71 of their papers we have counts for
10 papers · 1 filter
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
Autonomous driving is a multi-agent setting where the host vehicle must apply sophisticated negotiation skills with other road users when overtaking, giving way, merging, taking le…
Faster Low-rank Approximation using Adaptive Gap-based Preconditioning
Alon Gonen, Shai Shalev-Shwartz
We propose a method for rank approximation to a given input matrix which runs in time \[ \tilde{O} \left(d ~\cdot~ \min\left\{n + \tilde{sr}(X)…
Learning a Metric Embedding for Face Recognition using the Multibatch Method
Oren Tadmor, Yonatan Wexler, Tal Rosenwein +2
This work is motivated by the engineering task of achieving a near state-of-the-art face recognition on a minimal computing budget running on an embedded system. Our main technical…
On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training
Shai Shalev-Shwartz, Amnon Shashua
We compare the end-to-end training approach to a modular approach in which a system is decomposed into semantically meaningful components. We focus on the sample complexity aspect,…
Distribution Free Learning with Local Queries
Galit Bary-Weisberg, Amit Daniely, Shai Shalev-Shwartz
The model of learning with \emph{local membership queries} interpolates between the PAC model and the membership queries model by allowing the learner to query the label of any exa…
Long-term Planning by Short-term Prediction
Shai Shalev-Shwartz, Nir Ben-Zrihem, Aviad Cohen +1
We consider planning problems, that often arise in autonomous driving applications, in which an agent should decide on immediate actions so as to optimize a long term objective. Fo…