Program

Session 1
8:20am to 8:30am Opening remarks
8:30am to 9:10am Invited talk by Michael C. Mozer on “Human-Machine Cooperative Classification”. [PDF]
9:10am to 9:28am A Human-in-the-loop Approach for Troubleshooting Machine Learning Systems by Besmira Nushi, Ece Kamar, Donald Kossmann and Eric Horvitz. [PDF]
9:28am to 9:46am Efficient Exploration in Monte Carlo Tree Search using Human Action Abstractions by Kaushik Subramanian, Jonathan Scholz, Charles L. Isbell and Andrea L. Thomaz. [PDF]
9:50am to 10:30am Invited talk by Matthew E. Taylor on “What’s in a Reward? Teaching Agents and Robots with Non-Expert Reinforcement”. [PDF]
10:30am to 11:00am Coffee break
Session 2
11:00am to 11:40am Invited talk by Olivier Pietquin on “Challenges for End-to-End Spoken Dialogue Systems”.
11:40am to 12:10pm Poster spotlight 1
12:10pm to 12:50pm Invited talk by Todd Gureckis on “Progress in Building a Machine that can ask Interesting and Informative Questions”. [PDF]
12:50pm to 2:00pm Lunch
Session 3
2:00pm to 2:30pm Poster spotlight 2
2:30pm to 3:10pm Invited talk by Aude Billard on “Nonlinear Regression to Model Complex Robot Control Laws”. [PDF]
3:10pm to 3:30pm Coffee break
3:30pm to 4:30pm Poster session
Session 4
4:30pm to 4:48pm Enabling Robots to Communicate Reward Functions by Sandy Huang, David Held, Pieter Abbeel and Anca Dragan. [PDF]
4:48pm to 5:06pm Hierarchical Multi-Agent Reinforcement Learning through Communicative Actions for Human-Robot Collaboration by Elena Corina Grigore and Brian Scassellati. [PDF]
5:06pm to 5:46pm Invited talk by Emma Brunskill on “A Better You through Interactive Machine Learning”.
5:50pm to 6:40pm Panel discussion (Moderated by Matthew E. Taylor. Panelists: Aude Billard, Todd Gureckis, Michael Littman, Michael Mozer, Olivier Pietquin, Joelle Pineau)
6:40pm to 6:45pm Closing remarks