Handwritten Notes

This page contains all the handwritten notes that I've taken while reading research papers and taking classes. They are not necessarily comprehensive.

USC Class Notes

• MATH467: Theory and Computational Methods for Optimization
• MATH447: Theory and Mathematics of Machine Learning

Content

• Task and Motion Planning Related

  • A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning
    • Source
  • Manipulation Planning Among Movable Obstacles
    • Source
  • Legibility and Predictability of Robot Motion
    • Source

• Reinforcement Learning

  • Apprenticeship Learning via Inverse Reinforcement Learning
    • Source