Adaptive Investment Strategies: Deep Reinforcement Learning Approaches for Portfolio Optimization-Reference-Cited by-同舟云学术

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Adaptive Investment Strategies: Deep Reinforcement Learning Approaches for Portfolio Optimization

Published:2024-06-21 Issue: Volume:abs/2012.13773 Page:1-5
ISSN:
Container-title:2023 4th International Conference on Intelligent Technologies (CONIT)
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Author:

Sharma Rishabh¹,Sharma Ajay²,Hariharan Shanmugasundaram³,Jain Vishal⁴

Affiliation:

1. Chitkara University,Centre for Research Impact & Outcome,Rajpura,Punjab,India,140401

2. Chitkara University,Chitkara Centre for Research and Development,Himachal Pradesh,India,174103

3. Vardhaman College of Engineering,Department of Computer Science and Engineering,Hyderabad,India

4. Sharda University,Sharda School of Engineering and Technology,Department of Computer Science and Engineering,Greater Noida,U.P.,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625770/10625923/10627674.pdf?arnumber=10627674

Reference16 articles.

1. Deep reinforcement learning for portfolio management of markets with a dynamic number of assets

2. Deep reinforcement learning for portfolio management;Huang;ArXiv,2020

3. Market sentiment-aware deep reinforcement learning approach for stock portfolio allocation

4. DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding

5. Fuzzy AHP-TOPSIS approaches to prioritize teaching solutions for Intellect Errors

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