Deep reinforcement learning for optimal trading with partial information

Reinforcement Learning (RL) has attracted increasing interest in financial applications, including optimal trading and execution. However, the use of RL for optimal trading strategies that exploit latent information in the market has been, to the best of our knowledge, subject to little attention. I