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Robust Market Making via Adversarial Reinforcement Learning
v1v2 (latest)

Robust Market Making via Adversarial Reinforcement Learning

Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
3 March 2020
Thomas Spooner
Rahul Savani
    AAML
ArXiv (abs)PDFHTML

Papers citing "Robust Market Making via Adversarial Reinforcement Learning"

7 / 7 papers shown
Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion
Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion
Ziyi Wang
Carmine Ventre
M. Polukarov
77
0
0
29 Oct 2025
ARL-Based Multi-Action Market Making with Hawkes Processes and Variable Volatility
ARL-Based Multi-Action Market Making with Hawkes Processes and Variable VolatilityInternational Conference on AI in Finance (ICAF), 2024
Ziyi Wang
Carmine Ventre
M. Polukarov
VLM
85
1
0
07 Aug 2025
Automate Strategy Finding with LLM in Quant Investment
Automate Strategy Finding with LLM in Quant InvestmentConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Zhizhuo Kou
Holam Yu
Junyu Luo
Jingshu Peng
Xujia Li
Chengzhong Liu
Juntao Dai
Lei Chen
Sirui Han
Wenhan Luo
AIFin
544
22
0
10 Sep 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
The Evolution of Reinforcement Learning in Quantitative Finance: A SurveyACM Computing Surveys (ACM CSUR), 2024
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
592
13
0
20 Aug 2024
Model-based gym environments for limit order book trading
Model-based gym environments for limit order book trading
Joseph Jerome
Leandro Sánchez-Betancourt
Rahul Savani
Martin Herdegen
119
3
0
16 Sep 2022
Reward is not enough: can we liberate AI from the reinforcement learning
  paradigm?
Reward is not enough: can we liberate AI from the reinforcement learning paradigm?Social Science Research Network (SSRN), 2022
Vacslav Glukhov
141
0
0
03 Feb 2022
Reinforcement Learning for Quantitative Trading
Reinforcement Learning for Quantitative Trading
Shuo Sun
Rongpin Wang
Bo An
OffRLAIFin
220
71
0
28 Sep 2021
1
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