Familiarizes machine learning experts with imitation learning, statistical supervised learning theory, and reinforcement learning. It also roboticists and exper
As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior ha
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational discipli
This book gathers the outcomes of the thirteenth Workshop on the Algorithmic Foundations of Robotics (WAFR), the premier event for showcasing cutting-edge resea
