4 papers · 1 filter
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…
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping
Elchanan Zwecher, Eran Iceland, Sean R. Levy +3
The challenge of mapping indoor environments is addressed. Typical heuristic algorithms for solving the motion planning problem are frontier-based methods, that are especially effe…
Deep-Learning-Aided Path Planning and Map Construction for Expediting Indoor Mapping
Elchanan Zwecher, Eran Iceland, Shmuel Y. Hayoun +3
The problem of autonomous indoor mapping is addressed. The goal is to minimize the time to achieve a predefined percentage of exposure with some desired level of certainty. The use…