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An Application of Deep Reinforcement Learning to Algorithmic Trading

An Application of Deep Reinforcement Learning to Algorithmic Trading

7 April 2020
Thibaut Théate
D. Ernst
    AIFin
ArXivPDFHTML

Papers citing "An Application of Deep Reinforcement Learning to Algorithmic Trading"

19 / 19 papers shown
Title
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
140
3
0
20 Aug 2024
A Deep Reinforcement Learning Framework for Continuous Intraday Market
  Bidding
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
Ioannis Boukas
D. Ernst
Thibaut Théate
Adrien Bolland
A. Huynen
Martin Buchwald
Christelle Wynants
Bertrand Cornélusse
16
49
0
13 Apr 2020
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
63
190
0
23 Dec 2019
An intelligent financial portfolio trading strategy using deep
  Q-learning
An intelligent financial portfolio trading strategy using deep Q-learning
Hyungju Park
M. Sim
D. Choi
AIFin
27
88
0
08 Jul 2019
A Study on Overfitting in Deep Reinforcement Learning
A Study on Overfitting in Deep Reinforcement Learning
Chiyuan Zhang
Oriol Vinyals
Rémi Munos
Samy Bengio
OffRL
OnRL
48
386
0
18 Apr 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel
Joseph Modayil
H. V. Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
M. G. Azar
David Silver
OffRL
99
2,255
0
06 Oct 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
101
2,792
0
19 Aug 2017
A Distributional Perspective on Reinforcement Learning
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare
Will Dabney
Rémi Munos
OffRL
79
1,497
0
21 Jul 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
248
18,685
0
20 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
76
890
0
30 Jun 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
139
1,517
0
25 Jan 2017
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
72
3,742
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
206
3,781
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
141
7,590
0
22 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew J. Hausknecht
Peter Stone
102
1,668
0
23 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
376
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
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
105
12,163
0
19 Dec 2013
Twitter mood predicts the stock market
Twitter mood predicts the stock market
J. Bollen
Huina Mao
Xiao-Jun Zeng
AIFin
83
5,088
0
14 Oct 2010
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