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Reinforcement Learning Policy Recommendation for Interbank Network
  Stability

Reinforcement Learning Policy Recommendation for Interbank Network Stability

14 April 2022
Alessio Brini
G. Tedeschi
Daniele Tantari
ArXivPDFHTML

Papers citing "Reinforcement Learning Policy Recommendation for Interbank Network Stability"

13 / 13 papers shown
Title
A Deep Reinforcement Learning Framework For Financial Portfolio
  Management
A Deep Reinforcement Learning Framework For Financial Portfolio Management
Jinyang Li
AIFin
22
3
0
03 Sep 2024
What Matters In On-Policy Reinforcement Learning? A Large-Scale
  Empirical Study
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
Marcin Andrychowicz
Anton Raichuk
Piotr Stańczyk
Manu Orsini
Sertan Girgin
...
Matthieu Geist
Olivier Pietquin
Marcin Michalski
Sylvain Gelly
Olivier Bachem
OffRL
52
217
0
10 Jun 2020
Policy-focused Agent-based Modeling using RL Behavioral Models
Policy-focused Agent-based Modeling using RL Behavioral Models
Osonde A. Osoba
R. Vardavas
J. Grana
Rushil Zutshi
Amber Jaycocks
27
3
0
09 Jun 2020
Reinforcement Learning in Economics and Finance
Reinforcement Learning in Economics and Finance
Arthur Charpentier
Romuald Elie
Carl Remlinger
OffRL
51
152
0
22 Mar 2020
Comprehensive Review of Deep Reinforcement Learning Methods and
  Applications in Economics
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amir H. Mosavi
Pedram Ghamisi
Yaser Faghan
Puhong Duan
OffRL
50
152
0
21 Mar 2020
Deep Reinforcement Learning for Trading
Deep Reinforcement Learning for Trading
Zihao Zhang
S. Zohren
Stephen J. Roberts
AIFin
47
207
0
22 Nov 2019
A Deep Reinforcement Learning Framework for the Financial Portfolio
  Management Problem
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
Zhengyao Jiang
Dixing Xu
Jinjun Liang
OOD
62
344
0
30 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
697
21,613
0
22 May 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
170
8,805
0
04 Feb 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
247
13,174
0
09 Sep 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
254
6,722
0
19 Feb 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
383
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
1