Multimodal Inverse Reinforcement Learning for Stock Trading

We use optimally traded financial transactions observed as both transformer-encoded time-series data and CNN-encoded images to train an adversarial inverse reinforcement learning (AIRL) model that outputs robust trading reward functions.