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Fairness in Multi-agent Reinforcement Learning for Stock Trading

Fairness in Multi-agent Reinforcement Learning for Stock Trading

14 December 2019
Wenhang Bao
    AIFin
ArXivPDFHTML

Papers citing "Fairness in Multi-agent Reinforcement Learning for Stock Trading"

10 / 10 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
111
3
0
20 Aug 2024
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring
  Individual & Group Unfairness via Inequality Indices
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
Till Speicher
Hoda Heidari
Nina Grgic-Hlaca
Krishna P. Gummadi
Adish Singla
Adrian Weller
Muhammad Bilal Zafar
FaML
35
261
0
02 Jul 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated
  Decision Making
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Hoda Heidari
Claudio Ferrari
Krishna P. Gummadi
Andreas Krause
49
131
0
13 Jun 2018
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
79
1,094
0
06 Mar 2018
Multi-objective Bandits: Optimizing the Generalized Gini Index
Multi-objective Bandits: Optimizing the Generalized Gini Index
R. Busa-Fekete
Balazs Szorenyi
Paul Weng
Shie Mannor
26
41
0
15 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
103
4,441
0
07 Jun 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under
  Partial Observability
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei
Jason Pazis
Chris Amato
Jonathan P. How
J. Vian
56
497
0
17 Mar 2017
Sample Efficient Actor-Critic with Experience Replay
Sample Efficient Actor-Critic with Experience Replay
Ziyun Wang
V. Bapst
N. Heess
Volodymyr Mnih
Rémi Munos
Koray Kavukcuoglu
Nando de Freitas
64
757
0
03 Nov 2016
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
142
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
127
13,174
0
09 Sep 2015
1