ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.16538
  4. Cited By
The AI Revolution: Opportunities and Challenges for the Finance Sector

The AI Revolution: Opportunities and Challenges for the Finance Sector

31 August 2023
Carsten Maple
Lukasz Szpruch
Gregory Epiphaniou
Kalina S. Staykova
Simran Singh
William Penwarden
Yisi Wen
Zijian Wang
Jagdish Hariharan
Pavle Avramović
    AIFin
ArXivPDFHTML

Papers citing "The AI Revolution: Opportunities and Challenges for the Finance Sector"

10 / 10 papers shown
Title
Opportunities and Challenges of Generative-AI in Finance
Opportunities and Challenges of Generative-AI in Finance
Akshar Prabhu Desai
Ganesh Satish Mallya
Mohammad Luqman
Tejasvi Ravi
Nithya Kota
Pranjul Yadav
AIFin
100
3
0
21 Oct 2024
Capabilities of GPT-4 on Medical Challenge Problems
Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori
Nicholas King
S. McKinney
Dean Carignan
Eric Horvitz
LM&MA
ELM
AI4MH
112
796
0
20 Mar 2023
Exploring Explainable AI in the Financial Sector: Perspectives of Banks
  and Supervisory Authorities
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities
O. Kuiper
M. V. D. Berg
Joost van den Burgt
S. Leijnen
46
19
0
03 Nov 2021
AI in Finance: Challenges, Techniques and Opportunities
AI in Finance: Challenges, Techniques and Opportunities
LongBing Cao
AIFin
71
258
0
20 Jul 2021
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRL
OnRL
134
1,812
0
08 Jun 2020
Deep Reinforcement Learning for Trading
Deep Reinforcement Learning for Trading
Zihao Zhang
S. Zohren
Stephen J. Roberts
AIFin
79
207
0
22 Nov 2019
Convergent Policy Optimization for Safe Reinforcement Learning
Convergent Policy Optimization for Safe Reinforcement Learning
Ming Yu
Zhuoran Yang
Mladen Kolar
Zhaoran Wang
66
95
0
26 Oct 2019
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Reinforcement Learning via Meta-Policy Optimization
I. Clavera
Jonas Rothfuss
John Schulman
Yasuhiro Fujita
Tamim Asfour
Pieter Abbeel
72
227
0
14 Sep 2018
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
120
2,812
0
19 Aug 2017
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
167
7,639
0
22 Sep 2015
1