SwarmRL: Building the Future of Smart Active Systems

SwarmRL: Building the Future of Smart Active Systems

25 April 2024

Christoph Lohrmann

Konstantin Nikolaou

Simon Koppenhoefer

Anna Bushmakina

Jonas Scheunemann

Papers citing "SwarmRL: Building the Future of Smart Active Systems"

10 / 10 papers shown

Title
Optimal active particle navigation meets machine learning Mahdi Nasiri H. Löwen B. Liebchen 31 21 0 09 Mar 2023
Robot Operating System 2: Design, Architecture, and Uses In The Wild Steve Macenski Tully Foote Brian P. Gerkey Chris Lalancette W. Woodall 64 828 0 14 Nov 2022
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number Francesco Borra Luca Biferale M. Cencini A. Celani 72 21 0 16 Jun 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 152 528 0 04 Feb 2021
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 129 14,883 0 18 Jun 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 303 1,671 0 02 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 157 1,208 0 24 Nov 2019
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 68 587 0 23 Feb 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,432 0 15 May 2017