Multiagent-based deep reinforcement learning framework for multi-asset adaptive trading and portfolio management

This publication has 13 references indexed in Scilit:

• Multiagent-based deep reinforcement learning for risk-shifting portfolio management
  Applied Soft Computing, 2022
• Stock trading rule discovery with double deep Q-network
  Applied Soft Computing, 2021
• Novel Deep Reinforcement Algorithm With Adaptive Sampling Strategy for Continuous Portfolio Optimization
  IEEE Access, 2021
• A synchronous deep reinforcement learning model for automated multi-stock trading
  Progress in Artificial Intelligence, 2021
• Adaptive stock trading strategies with deep reinforcement learning methods
  Information Sciences, 2020
• A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning
  Applied Intelligence, 2020
• Encoding candlesticks as images for pattern classification using convolutional neural networks
  Financial Innovation, 2020
• Stock price prediction based on deep neural networks
  Neural Computing and Applications, 2019
• Human-level control through deep reinforcement learning
  Nature, 2015
• Adaptive stock trading with dynamic asset allocation using reinforcement learning
  Information Sciences, 2006