Pro Trader RL: Reinforcement learning framework for generating trading knowledge by mimicking the decision-making patterns of professional traders.
Da Woon JeongYeong Hyeon GuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- reinforcement learning
- decision making
- model free
- biologically inspired
- machine learning
- state space
- decision makers
- markov decision processes
- autonomous learning
- complex domains
- function approximation
- dynamic programming
- domain knowledge
- multi agent
- knowledge base
- transfer learning
- design patterns
- optimal policy
- action selection
- action space
- trading systems