Lectures, Paper Presentations, and Project Presentations

Mon	Topic	Wed	Topic	Fri	Topic
Aug 21	Intro: HRI + Course Overview	Aug 23	Finding and Reading Papers	Aug 25	Probability Distributions
Aug 28	Bayesian Inference	Aug 30	Bayesian Networks	Sep 01	Markov Models + Hidden Markov Models
Sep 04	Labor Day	Sep 06	Filtering I	Sep 08	Filtering II
Sep 11	Intention Recognition I	Sep 13	Filtering Clinic	Sep 15	Decision-Making and MDPs
Sep 18	Social Navigation I	Sep 20	Value Iteration	Sep 22	Policy Iteration
Sep 25	Intention Recognition II	Sep 27	ROS/MDP Clinic	Sep 29	ROS/MDP Clinic
Oct 02	Social Navigation II	Oct 04	RL: Monte Carlo	Oct 06	RL: TD / SARSA
Oct-09	Fall Break	Oct 11	RL: Q-Learning	Oct 13	RL: Bootsrapping
Oct 16	Legibility	Oct 18	RL Clinic	Oct 20	RL Clinic
Oct 23	Collaboration	Oct 25	RL: Approximation I	Oct 27	RL: Approximation II
Oct 30	Final Project Proposals	Nov 01	RL: Summary	Nov 03	Experiment Design
Nov 06	Gestures	Nov 08	Measures and Metrics	Nov 10	Planning and Running Experiments
Nov 13	Gaze	Nov 15	Final Project Clinic	Nov 17	Final Project Clinic
Nov 20	Learning from Demonstration	Nov 22	Thanksgiving Break	Nov 24	Thanksgiving Break
Nov 27	Final Project Presentations	Nov 29	Final Project Presentations	Dec 01	Final Project Presentations
Dec 04	Final Project Presentations