Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities.
Bo AnShuo SunRundong WangPublished in: IEEE Intell. Syst. (2022)
Keyphrases
- reinforcement learning
- lessons learned
- function approximation
- key issues
- real world
- data mining
- learning algorithm
- deep learning
- reinforcement learning algorithms
- technical challenges
- optimal control
- markov decision processes
- multi agent reinforcement learning
- open issues
- optimal policy
- electronic commerce
- short term
- dynamic programming
- learning process
- multi agent systems
- multi agent
- neural network