Reinforcement Learning (RL), with all its potential applications in fields like Robotics, Autonomous driving, Recommender Systems, etc., is indeed a promising direction. Most of the standard techniques, however, are brittle to small changes in the environment, and this opens up the larger question about generalization in RL. In supervised learning, one of the ways of … Continue reading Contextual RL