Bookmarks

Books

Algorithms for Optimization, Kochenderfer & Wheeler
Algorithms of Reinforcement Learning, Szepesvári
Artificial Intelligence: A Modern Approach, Russell & Norvig
Computer Systems: A Programmer’s Perspective, Bryant & O’Hallaron
Data-driven Science and Engineering, Brunton & Kutz
Deep Learning: Foundations and Concepts, Bishop & Bishop
Mathematical Foundations of Reinforcement Learning, Zhao
Modern Robotics, Lynch & Park
Principles of Robot Autonomy, Lorenzetti & Pavone
Reinforcement Learning: A Comprehensive Overview, Murphy
Reinforcement Learning: An Introduction, Sutton & Barto
Robotic Manipulation, Tedrake
The Little Book of Deep Learning, Fleuret
Underactuated Robotics, Tedrake

Articles

A Standard Rigid Transformation Notation Convention for Robotics Research, Philippe Nadeau
Drake: Notation Basics, Drake C++ Documentation
Neural Circuit Diagrams, Vincent Abbott

Talks

Robotics Seminar, Robotics @ MIT
Visualizing transformers and attention, Grant Sanderson