Schedule: IAP 2021

Monday and Thursday 1:00-3:00pm ET (other than Tuesday for the week of MLK Day).

Zoom link

Here is a tentative schedule of lectures, and assignments. The assignments will be added as they become available.

Event Date Lecture Logistics
Lecture (video, feedback) Jan 11 Overview Release HW0
Lecture (video, feedback) Jan 14 Deep Visual Perception
  • Overview of problems in vision/ml
  • Formulation of different types of deep-networks and cnns
  • Networks today and beyond
  • How can we use trained models?
Release HW1
Lecture (video, feedback) Jan 19 Reinforcement Learning
  • Decision Making Problems
  • On Policy Algorithms (Reinforce, A2C, PPO and TRPO)
  • Tips and Tricks for On Policy Algorithms
  • Off Policy Algorithms (DQN, DDPG)
  • Tips and Tricks for Off Policy Algorithms
Lecture (video, feedback) Jan 21 Learning from Demonstrations and Inverse RL
  • Behavior Cloning
  • Dagger
  • Overview of IRL
Release HW2
HW1 due (by 10:00am ET)
Lecture (video, feedback) Jan 25 Deep Learning for Manipulation
  • Kinematic frames and rotation representation
  • Forward/Inverse kinematics
  • Object pose estimation
  • Motion Planning
 Release HW3
Lecture (video, feedback) Jan 28 DL Infrastructure HW2 due (by 10:00am ET)
HW due date Feb 2 HW3 due (by 10:00am ET) HW3 due (by 10:00am ET)

For questions or comments, email rlcamp-staff [AT] mit [DOT] edu.

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