Principles of Reinforcement Learning

Mathematics, core theories, and algorithmic principles behind reinforcement learning, where agents learn to make decisions by interacting with their environment and receiving rewards or penalties. Applications include robotics, game playing, control systems, healthcare, and behavioral modeling.