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Reinforcement Learning with Quantum Variational Circuits

Reinforcement Learning with Quantum Variational Circuits

15 August 2020
Owen Lockwood
Mei Si
ArXivPDFHTML

Papers citing "Reinforcement Learning with Quantum Variational Circuits"

15 / 15 papers shown
Title
Learning to Program Quantum Measurements for Machine Learning
Learning to Program Quantum Measurements for Machine Learning
Samuel Yen-Chi Chen
Huan-Hsin Tseng
Hsin-Yi Lin
Shinjae Yoo
114
0
0
18 May 2025
Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
68
519
0
30 Mar 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
164
1,823
0
13 Dec 2019
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial
  Problems
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy
Ruslan Shaydulin
L. Cincio
Yuri Alexeev
Prasanna Balaprakash
51
128
0
25 Nov 2019
Variational Quantum Circuits for Deep Reinforcement Learning
Variational Quantum Circuits for Deep Reinforcement Learning
Samuel Yen-Chi Chen
Chao-Han Huck Yang
Jun Qi
Pin-Yu Chen
Xiaoli Ma
H. Goan
86
306
0
30 Jun 2019
Parameterized quantum circuits as machine learning models
Parameterized quantum circuits as machine learning models
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
89
892
0
18 Jun 2019
Comparison of Reinforcement Learning algorithms applied to the Cart Pole
  problem
Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem
Savinay Nagendra
Nikhil Podila
Rashmi Ugarakhod
K. George
50
46
0
03 Oct 2018
A Distributional Perspective on Reinforcement Learning
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare
Will Dabney
Rémi Munos
OffRL
96
1,504
0
21 Jul 2017
Noisy Networks for Exploration
Noisy Networks for Exploration
Meire Fortunato
M. G. Azar
Bilal Piot
Jacob Menick
Ian Osband
...
Rémi Munos
Demis Hassabis
Olivier Pietquin
Charles Blundell
Shane Legg
79
895
0
30 Jun 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
214
5,076
0
05 Jun 2016
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
91
3,755
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
217
3,788
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
167
7,639
0
22 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,227
0
19 Dec 2013
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