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Reinforcement Learning for Market Making in a Multi-agent Dealer Market

Reinforcement Learning for Market Making in a Multi-agent Dealer Market

14 November 2019
Sumitra Ganesh
N. Vadori
Mengda Xu
Huabao Zheng
P. Reddy
Manuela Veloso
ArXivPDFHTML

Papers citing "Reinforcement Learning for Market Making in a Multi-agent Dealer Market"

14 / 14 papers shown
Title
Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning
Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning
Junzhe Jiang
Chang Yang
Xinrun Wang
Zhiming Li
Xiao Huang
Bo Li
7
0
0
18 May 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
Bowen Zheng
Ran Cheng
Kay Chen Tan
52
0
0
25 Jan 2025
Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning
Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning
Satchit Chatterji
Erman Acar
48
0
0
07 Nov 2024
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
95
3
0
20 Aug 2024
Can maker-taker fees prevent algorithmic cooperation in market making?
Can maker-taker fees prevent algorithmic cooperation in market making?
Bingyan Han
50
1
0
01 Nov 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter
  Market Simulations
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations
N. Vadori
Leo Ardon
Sumitra Ganesh
Thomas Spooner
Selim Amrouni
Jared Vann
Mengda Xu
Zeyu Zheng
T. Balch
Manuela Veloso
25
16
0
13 Oct 2022
Phantom -- A RL-driven multi-agent framework to model complex systems
Phantom -- A RL-driven multi-agent framework to model complex systems
Leo Ardon
Jared Vann
Deepeka Garg
Thomas Spooner
Sumitra Ganesh
35
7
0
12 Oct 2022
Deep Reinforcement Learning for Market Making Under a Hawkes
  Process-Based Limit Order Book Model
Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model
Bruno Gašperov
Z. Kostanjčar
32
11
0
20 Jul 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep
  RL in Large Networked Systems
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
Miguel Suau
Jinke He
M. Spaan
F. Oliehoek
30
4
0
03 Feb 2022
Transfer RL across Observation Feature Spaces via Model-Based
  Regularization
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Andrew Cohen
Furong Huang
OOD
OffRL
25
21
0
01 Jan 2022
Recent Advances in Reinforcement Learning in Finance
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
29
168
0
08 Dec 2021
Towards a fully RL-based Market Simulator
Towards a fully RL-based Market Simulator
Leo Ardon
N. Vadori
Thomas Spooner
Mengda Xu
Jared Vann
Sumitra Ganesh
45
18
0
13 Oct 2021
Deep Learning modeling of Limit Order Book: a comparative perspective
Deep Learning modeling of Limit Order Book: a comparative perspective
Antonio Briola
J. Turiel
T. Aste
34
24
0
12 Jul 2020
Reinforcement Learning in Economics and Finance
Reinforcement Learning in Economics and Finance
Arthur Charpentier
Romuald Elie
Carl Remlinger
OffRL
32
150
0
22 Mar 2020
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