Every serious student of AI will benefit from reading this comprehensive text on some of the most important problems and methods underlying intelligent behavior, written by three world-leading experts.
Stuart Russell
University of California, Berkeley
The book provides a comprehensive, advanced, and up-to-date introduction to the area of intelligent behavior in AI concerned with acting, planning, and learning. It is also an original and ambitious work of synthesis that integrates classical and hierarchical planning, reinforcement learning, and robotics. An essential textbook and a key reference for anyone working in the field.
Hector Geffner
RWTH Aachen University, Germany
After focusing on automated planning in their first book and its integration with acting in the second book, Malik Ghallab, Dana Nau, and Paolo Traverso close the loop by adding the last missing component, learning. With more than 600 pages of text and more than 1200 references, this massive effort is a must-read for anyone who builds autonomous agents that plan their actions and improve their behavior via learning. It is not only an excellent textbook, but it also serves as a reference book for researchers.
Roman Barták
Charles University, Czech Republic