Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization

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Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization

3 January 2025

Philipp Altmann

Claudia Linnhoff-Popien

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Papers citing "Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization"

18 / 18 papers shown

Title
Quantum Artificial Intelligence: A Brief Survey Matthias Klusch Jorg Lassig Daniel Mussig A. Macaluso Frank K. Wilhelm 97 5 0 20 Aug 2024
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization Michael Kolle Karola Schneider Sabrina Egger Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien 96 0 0 30 Jul 2024
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels Alexander C. DeRieux Walid Saad 122 1 0 24 May 2024
Quantum deep recurrent reinforcement learning Samuel Yen-Chi Chen 125 23 0 26 Oct 2022
Quantum Multi-Agent Meta Reinforcement Learning Won Joon Yun Jihong Park Joongheon Kim 96 40 0 22 Aug 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 131 30 0 10 Feb 2022
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines Tobias Müller Christoph Roch Kyrill Schmid Philipp Altmann AI4CE 86 6 0 22 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 92 87 0 01 Sep 2021
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation Yunseok Kwak Won Joon Yun Soyi Jung Jong-Kook Kim Joongheon Kim 63 49 0 16 Aug 2021
Layerwise learning for quantum neural networks Andrea Skolik Jarrod R. McClean Masoud Mohseni Patrick van der Smagt Martin Leib 71 287 0 26 Jun 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 109 521 0 30 Mar 2020
Benchmarking Surrogate-Assisted Genetic Recommender Systems Thomas Gabor Philipp Altmann 64 5 0 08 Aug 2019
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 155 697 0 18 Dec 2017
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 144 541 0 13 Sep 2017
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity Pablo Hernandez-Leal Michael Kaisers T. Baarslag Enrique Munoz de Cote 90 275 0 28 Jul 2017
Maintaining cooperation in complex social dilemmas using deep reinforcement learning Adam Lerer A. Peysakhovich 129 160 0 04 Jul 2017
Multi-agent Reinforcement Learning in Sequential Social Dilemmas Joel Z Leibo V. Zambaldi Marc Lanctot J. Marecki T. Graepel 99 612 0 10 Feb 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 125 840 0 11 Oct 2016