Introduction to Quantum Reinforcement Learning: Theory and
PennyLane-based Implementation

Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

16 August 2021

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Papers citing "Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation"

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Title
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization Michael Kolle Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien AI4CE 149 5 0 03 Jan 2025
Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics Mazyar Taghavi Rahman Farnoosh 22 0 0 29 Jul 2024
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning Michael Kölle Timo Witter Tobias Rohe Gerhard Stenzel Philipp Altmann Thomas Gabor 57 3 0 20 May 2024
Quantum Advantage Actor-Critic for Reinforcement Learning Michael Kolle Mohamad Hgog Fabian Ritz Philipp Altmann Maximilian Zorn Jonas Stein Claudia Linnhoff-Popien 92 8 0 13 Jan 2024
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars Akash Sinha A. Macaluso Matthias Klusch 84 6 0 20 Nov 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 80 26 0 29 Mar 2023
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management Won Joon Yun Jae Pyoung Kim Soyi Jung Jae-Hyun Kim Joongheon Kim OffRL 106 36 0 04 Jan 2023
Quantum Policy Gradient Algorithm with Optimized Action Decoding Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 61 22 0 13 Dec 2022
A Survey on Quantum Reinforcement Learning Nico Meyer Christian Ufrecht Maniraman Periyasamy Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE LRM 108 62 0 07 Nov 2022
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks Seokshin Son Soohyun Park Haemin Lee Joongheon Kim Soyi Jung Donghwa Kim 63 1 0 27 May 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 52 10 0 25 Mar 2022
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design Won Joon Yun Yunseok Kwak Jae Pyoung Kim Hyunhee Cho Soyi Jung Jihong Park Joongheon Kim 106 48 0 20 Mar 2022
Quantum Deep Reinforcement Learning for Robot Navigation Tasks Hans Hohenfeld D. Heimann Felix Wiebe Frank Kirchner 96 26 0 24 Feb 2022
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications Yunseok Kwak Won Joon Yun Jae Pyoung Kim Hyunhee Cho Minseok Choi Soyi Jung Joongheon Kim 100 45 0 19 Feb 2022
Variational Quantum Soft Actor-Critic Qingfeng Lan 62 22 0 20 Dec 2021
Quantum Architecture Search via Continual Reinforcement Learning Esther Ye Samuel Yen-Chi Chen 74 30 0 10 Dec 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