Transformative Trends in Reinforcement Learning: From Deep Q-Learning to Real-World Applications-Reference-Cited by-同舟云学术

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Transformative Trends in Reinforcement Learning: From Deep Q-Learning to Real-World Applications

Published:2024-03-15 Issue: Volume:10 Page:738-743
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
language:
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Author:

Mani Chandra¹,Sharma Tarun Kumar²,Yadav Kanchan³,Gupta Divya⁴

Affiliation:

1. Raj Kumar Goel Institute of Technology,Computer Science & Engineering,Ghaziabad,UP,India

2. ABES Engineering College,Department of Computer Applications,Ghaziabad,UP,India

3. GLA University,Department of Electrical Engineering,Mathura,UP,India

4. MIET,Department of BCA,Meerut,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10488963.pdf?arnumber=10488963

Reference17 articles.

1. Guide to Cybersecurity in Digital Transformation: Trends, Methods, Technologies, Applications and Best Practices (Vol. 103);Springer Nature,2023

2. Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets

3. 5G and AI-Driven Process Control: Digital Transformation Boosting Agility and Effectiveness in Supply Chains;Kumari;Manufacturing Systems & Telehealth Delivery

4. Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions

5. A Mean-VaR Based Deep Reinforcement Learning Framework for Practical Algorithmic Trading

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