Resources

Control and Reinforcement Learning

• Some Control Perspectives on Reinforcement Learning (by Lucian Busoniu, Tim de Bruin, Domagoj Tolic, Jens Kober, and Ivana Palunko)

Verification and Certifiably Robust Neural Networks

• abCROWN Control Tutorial – Slides and Tutorial Materials

Modern Robot Learning

• ETH Zurich: Robot Learning – From Fundamentals to Foundation Models

• MIT Underactuated Robotics: Imitation Learning

Diffusion and Generative AI for Control

• Step-by-Step Diffusion: An Elementary Tutorial

• Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Large Language Models and Foundation Models for Robotics and Control

• Foundation Models in Robotics: Applications, Challenges, and the Future

• Large Language Models for Robotics: Opportunities, Challenges, and Perspectives

Resources for Final Project

• Guidelines for Final Project