v1v2 (latest)

Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019

5 December 2019

Papers citing "Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation"

8 / 8 papers shown

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations

Connor Mattson

Varun Raveendra

Ellen R. Novoseller

Nicholas R. Waytowich

Vernon J. Lawhern

Daniel S. Brown

142

20 Oct 2025

Learning to Imitate Spatial Organization in Multi-robot Systems

Ayomide O. Agunloye

Sarvapali D. Ramchurn

Mohammad D. Soorati

204

16 Jul 2024

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot ProblemsIEEE Transactions on robotics (TRO), 2023

720

30 Dec 2023

LEMURS: Learning Distributed Multi-Robot InteractionsIEEE International Conference on Robotics and Automation (ICRA), 2022

282

20 Sep 2022

Understandable Controller Extraction from Video Observations of Swarms

Khulud Alharthi

Zahraa S Abdallah

Sabine Hauert

02 Sep 2022

Local Repair of Neural Networks Using Optimization

143

28 Sep 2021

Learning to Swarm with Knowledge-Based Neural Ordinary Differential EquationsIEEE International Conference on Robotics and Automation (ICRA), 2021

Tom Z. Jiahao

Lishuo Pan

M. A. Hsieh

224

10 Sep 2021

Deep Learning for Vision-based Prediction: A Survey

Amir Rasouli

372

30 Jun 2020