编译原理
Alfred V. Aho
算法设计
Jon Kleinberg
Differential Equations and Linear Algebra, 4th Edition
Stephen W. Goode & Scott A. Annin
计算机网络: 自顶向下方法
James F. Kurose & Keith W. Ross
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
Learning Theory From First Principles
Francis Bach
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer