courses

Teaching Experience

At CMU:

  • Graduate Teaching Assistant in 10-703 Deep RL and Control (Fall 2020)

Selected Graduate Courses

At CMU:

  • 10-715 Advanced Introduction to Machine Learning, Fall 2019, A
  • 10-703 Deep RL and Control, Fall 2019, A+
  • 10-708 Probablistic Graphical Models, Spring 2020, A
  • 10-716 Advanced Machine Learning, Spring 2020, A
  • 10-725 Convex Optimization, Fall 2020, A+

ML/RL/Optim

  • CS 285 Deep RL by Prof. Levine at UCB
  • CS 330 Deep Multi-Task and Meta Learning by Prof. Finn at Stanford
  • CS 6789 Foundations of RL by Prof. Sun at Cornell

System/Control

  • AA 203 Optimal and Learning-based Control by Prof. Pavone at Stanford
  • EE 363 Linear Dynamical Systems by Prof. Boyd at Stanford, EE 221A Linear System Theory by Prof. Tomlin at UCB
  • ME Nonlinear Systems by Prof. Slotine at MIT, EE222/ME237 Nonlinear Systems by Prof. Tomlin at UCB, MAE Nonlinear Dynamics and Chaos by Prof. Strogatz at Cornell

Robotics

  • CS 287 Advanced Robotics by Prof. Abbeel UCB
  • 6.832 Underactuated Robotics by Prof. Tedrake at MIT
  • 6.881 Robotic Manipulation by Prof. Tedrake at MIT