31 citations · 31 across the 2 of their papers we have counts for
2 papers
q-fin.PM2023
A Scalable Reinforcement Learning-based System Using On-Chain Data for Cryptocurrency Portfolio Management
Zhenhan Huang, Fumihide Tanaka
On-chain data (metrics) of blockchain networks, akin to company fundamentals, provide crucial and comprehensive insights into the networks. Despite their informative nature, on-cha…
q-fin.PM2021★ 31 cited
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management
Zhenhan Huang, Fumihide Tanaka
Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature. However, existing RL-based…