From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control the

From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control the

A complete and accessible introduction to the real-world applications of approximate dynamic programming With the growing levels of sophistication in modern-day

Reinforcement Learning and Dynamic Programming Using Function Approximators By Lucian Busoniu

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a lon