Day 1 - Nov 2nd, Friday

09:00 - 09:30    Opening

09:30 - 10:30    Invited Talk #1: John Laird, University of Michigan

10:30 - 11:00    Coffee Break

11:00 - 12:20    Paper Session #1 - Chair: Brenna Argall

1. •11:00 - Bodenstedt et al. Learned Partial Automation for Shared Control in Tele-Robotic Manipulation
   

2. •11:20 - Akgun et al. Novel Interaction Strategies for Learning from Teleoperation
   

3. •11:40 - Sklar & Parsons. Learning to Avoid Collisions
   

4. •12:00 - Koenig & Mataric. Training wheels for the robot: Learning from demonstration using simulation
   

12:20 - 02:00    Lunch Break

02:00 - 02:20    Organizer Presentation #1: Brenna Argall, Northwestern University

02:20 - 03:20    Paper Session #2 - Chair: Maya Cakmak

1. •02:20 - Mohan et al. Learning Grounded Language through Situated Interactive Instruction.
   

2. •02:40 - Fasola & Mataric. Using Spatial Language to Guide and Instruct Robots in Household Environments
   

3. •03:00 - Greeff et al. Active Learning between a Robot Learner and a Human Teacher
   

03:20 - 04:00    Coffee Break

04:00 - 05:00    Invited Talk #2: Julie Shah, MIT

05:00 - 05:30    Discussion Session #1: Research problems and challenges for RLIHT

05:30 - 06:00    Break

06:00 - 07:00    Reception

   Day 2 - Nov 3rd, Saturday

09:00 - 09:20    Organizer Presentation #2: Maya Cakmak, Willow Garage

09:20 - 10:20    Invited Talk #3: Siddhartha Srinivasa, Carnegie Mellon University

10:20 - 11:00    Coffee Break

11:00 - 12:20    Paper Session #3 - Chair: Bradley Knox

1. •11:00 - Pilarski & Sutton. Between Instruction and Reward: Human-Prompted Switching.
   

2. •11:20 - Judah et al. Active Imitation Learning via Reduction to I.I.D. Active Learning
   

3. •11:40 - Ngo & Ertel. Learning via Human Feedback in Continuous State and Action Spaces.
   

4. •12:00 - Karpov et al. Evaluation Methods for Human-Guided Neuroevolution in Games
   

12:20 - 02:00    Lunch Break

02:00 - 02:20    Organizer Presentation #3: Bradley Knox, MIT

02:20 - 03:20    Paper Session #4 - Chair: Tekin Mericli

1. •02:20 - Muelling et al. Learning to Select and Generalize Striking Movements in Robot Table Tennis
   

2. •02:40 - Suay et al. Using Causal Models for Learning from Demonstration
   

3. •03:00 - Dragan & Srinivasa. Assistive Teleoperation: A New Domain for Interactive Learning
   

03:20 - 04:00    Coffee Break

04:00 - 05:30    Discussion Session #2: Task/skill Representations and Machine Learning Methods for RLIHT

05:30 - 06:00    Break

06:00 - 07:30    Plenary Session

   Day 3 - Nov 4th, Sunday

09:00 - 09:20    Organizer Presentation #4: Cetin Mericli, Carnegie Mellon University

09:20 - 10:20    Invited Talk #4: Paul Ruvolo, Bryn Mawr College

10:20 - 11:00    Coffee Break

11:00 - 12:15    Discussion Session #3: Interaction modalities and interfaces for RLIHT, evaluation for RLIHT

12:15 - 12:30    Closing remarks