A Survey on Quantum Reinforcement Learning

7 November 2022

Papers citing "A Survey on Quantum Reinforcement Learning"

7 / 7 papers shown

Title
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning Michael Kölle Timo Witter Tobias Rohe Gerhard Stenzel Philipp Altmann Thomas Gabor 18 2 0 20 May 2024
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 21 17 0 22 Jan 2023
Quantum policy gradient algorithms Sofiene Jerbi A. Cornelissen M. Ozols Vedran Dunjko 24 11 0 19 Dec 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 37 41 0 20 Mar 2022
Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem F. Sanches Sean J. Weinberg Takanori Ide Kazumitsu Kamiya 24 10 0 15 Sep 2021
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer Julio Olivares-Sánchez J. Casanova Enrique Solano L. Lamata 19 36 0 19 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017