57 citations · 155 across the 48 of their papers we have counts for
59 papers
Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning
Yigal Koifman, Eran Iceland, Erez Koifman +2
This study highlights the potential of image-based reinforcement learning methods for addressing swarm-related tasks. In multi-agent reinforcement learning, effective policy learni…
VariAntNet: Learning Decentralized Control of Multi-Agent Systems
Yigal Koifman, Erez Koifman, Eran Iceland +2
A simple multi-agent system can be effectively utilized in disaster response applications, such as firefighting. Such a swarm is required to operate in complex environments with li…
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin +5
Dimensionality reduction is a fundamental task that aims to simplify complex data by reducing its feature dimensionality while preserving essential patterns, with core applications…
Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
Standard convolutions are prevalent in image processing and deep learning, but their fixed kernels limits adaptability. Several deformation strategies of the reference kernel grid…
Distributed and Decentralized Control and Task Allocation for Flexible Swarms
Yigal Koifman, Ariel Barel, Alfred M. Bruckstein
This paper introduces a novel bio-mimetic approach for distributed control of robotic swarms, inspired by the collective behaviors of swarms in nature such as schools of fish and f…
Time, Travel, and Energy in the Uniform Dispersion Problem
Michael Amir, Alfred M. Bruckstein
We investigate the algorithmic problem of uniformly dispersing a swarm of robots in an unknown, gridlike environment. In this setting, our goal is to study the relationships betwee…