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Reinforcement Learning in Economics and Finance

Reinforcement Learning in Economics and Finance

22 March 2020
Arthur Charpentier
Romuald Elie
Carl Remlinger
    OffRL
ArXivPDFHTML

Papers citing "Reinforcement Learning in Economics and Finance"

16 / 16 papers shown
Title
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning
Simo Alami C.
Rim Kaddah
Jesse Read
Marie-Paule Cani
46
0
0
07 May 2025
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
Zilong Deng
Simon Khan
Shaofeng Zou
54
0
0
11 Mar 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
H. Zhang
Xiaoman Pan
Hongwei Wang
Kaixin Ma
W. Yu
Dong Yu
LLMAG
61
3
0
03 Jan 2025
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
89
3
0
20 Aug 2024
Robust Q-Learning for finite ambiguity sets
Robust Q-Learning for finite ambiguity sets
Cécile Decker
Julian Sester
30
0
0
05 Jul 2024
Safe and Balanced: A Framework for Constrained Multi-Objective
  Reinforcement Learning
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
Shangding Gu
Bilgehan Sel
Yuhao Ding
Lu Wang
Qingwei Lin
Alois Knoll
Ming Jin
40
1
0
26 May 2024
Imitation Learning in Discounted Linear MDPs without exploration
  assumptions
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano
Stratis Skoulakis
V. Cevher
30
3
0
03 May 2024
Simulating the economic impact of rationality through reinforcement
  learning and agent-based modelling
Simulating the economic impact of rationality through reinforcement learning and agent-based modelling
Simone Brusatin
Tommaso Padoan
Andrea Coletta
Domenico Delli Gatti
Aldo Glielmo
AI4CE
26
3
0
03 May 2024
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
Rui Liu
Erfaun Noorani
Pratap Tokekar
John S. Baras
23
1
0
13 Mar 2024
Maximizing NFT Incentives: References Make You Rich
Maximizing NFT Incentives: References Make You Rich
Guangsheng Yu
Qin Wang
Caijun Sun
L. Nguyen
H.M.N. Dilum Bandara
Shiping Chen
32
1
0
09 Feb 2024
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
Olivia Macmillan-Scott
Mirco Musolesi
32
1
0
28 Nov 2023
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication
  for Autonomous Drone Reforestation
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
P. D. Siedler
AI4CE
20
4
0
14 Nov 2022
Reinforcement Learning and Bandits for Speech and Language Processing:
  Tutorial, Review and Outlook
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook
Baihan Lin
OffRL
AI4TS
26
27
0
24 Oct 2022
Recent Advances in Reinforcement Learning in Finance
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
27
165
0
08 Dec 2021
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for
  Payment Fraud Systems in Retail Banking
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking
Hongda Shen
Eren Kurshan
14
20
0
21 Oct 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,630
0
02 Feb 2020
1