A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes
Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data
Integrating Structure with Deep Reinforcement and Imitation Learning
Deep Neural Networks in High Frequency Trading
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks