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 UCB
    • CS 330 Deep Multi-Task and Meta Learning by Stanford
    • CS 6789 Foundations of RL by Cornell
  • Dyn/Control:
    • AA 203 Optimal and Learning-based Control by Stanford
    • EE 363 Linear Dynamical Systems by Stanford, EE 221A Linear System Theory by UCB
    • ME Nonlinear Systems by MIT, EE222/ME237 Nonlinear Systems by UCB
    • 18.03 Differential Equations by MIT, 18.336 Numerical Methods for PDE by MIT, MA 228A Numerical Methods for DE by UCB
  • Robotics:
    • CS 287 Advanced Robotics by UCB
    • 6.832 Underactuated Robotics by MIT
    • 6.881 Robotic Manipulation by MIT