MetaTrader: An Reinforcement Learning Approach Integrating Diverse
Policies for Portfolio Optimization

MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization

1 September 2022

Siyuan Li

Papers citing "MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization"

8 / 8 papers shown

Title
QuantBench: Benchmarking AI Methods for Quantitative Investment Saizhuo Wang Hao Kong Jiadong Guo Fengrui Hua Yiyan Qi Wanyun Zhou Jiahao Zheng Xinyu Wang Lionel M. Ni Jian Guo 79 1 0 24 Apr 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment Bokai Cao Saizhuo Wang Xinyi Lin Xiaojun Wu Haohan Zhang L. Ni Jian Guo AIFin 52 0 0 27 Mar 2025
DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection Donghee Choi Jinkyu Kim Mogan Gim Jinho Lee Jaewoo Kang 21 0 0 18 Jul 2024
Enhancing Few-Shot Stock Trend Prediction with Large Language Models Yiqi Deng Xingwei He Jiahao Hu Siu-Ming Yiu AIFin 25 1 0 12 Jul 2024
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading Chuqiao Zong Chaojie Wang Molei Qin Lei Feng Xinrun Wang Bo An AIFin 24 3 0 20 Jun 2024
An Imitative Reinforcement Learning Framework for Autonomous Dogfight Siyuan Li Rongchang Zuo Peng Liu Yingnan Zhao Yingnan Zhao 33 1 0 17 Jun 2024
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization Philip Ndikum Serge Ndikum 31 1 0 27 Feb 2024
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making Hui Niu Siyuan Li Jiahao Zheng Zhou-Chen Lin Jian Li Jian Guo Bo An 11 3 0 17 Aug 2023