This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

Sequential decision-making under uncertainty is a foundational topic in multiple fields - including economics, operations research, and computer science, built around the foundation of Markov decision ...

Reinforcement learning has earned a reputation for mastering games, robotics, and complex decision-making tasks, but one ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

Deep reinforcement learning (DRL) has emerged as a powerful paradigm for dynamic spectrum management, addressing the growing demand for efficient utilisation of increasingly congested radio bands. By ...