Schedule
08:30 AM - Introduction
08:35 AM - Talk from Organizers: Teaching Machines like We Teach People
Igor Labutov09:00 AM - Invited Talk: Mapping Navigation Instructions to Continuous Control
Yoav Artzi09:30 AM - Invited Talk: An Cognitive Architecture Approach to Interactive Task Learning
John Laird10:00 AM - Contributed Talk: Compositional Imitation Learning: Explaining and executing one task at a time. pdf
Thomas Kipf, Yujia Li, Hanjun Dai, Vinicius Zambaldi, Edward Grefenstette, Pushmeet Kohli and Peter Battaglia10:15 AM - Contributed Talk: Learning to Learn from Imperfect Demonstrations. pdf
Ge Yang and Chelsea FinnCoffee Break from 10:30- 11 AM
11:00 AM - Invited Talk: Natural Language Supervision
Percy Liang11:30 AM - Invited Talk: Control Algorithms for Imitation Learning from Observation
Peter Stone12:00 PM - Contributed talk: From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. pdf
Justin Fu, Anoop Korattikara, Sergey Levine and Sergio Guadarrama12:15 PM - Contributed Talk: Teaching Multiple Tasks to an RL Agent using LTL . pdf
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano and Sheila McIlraithLunch Break from 12:30- 1:30 PM
1:30 PM - Invited Talk: Meta-Learning to Follow Instructions, Examples, and Demonstrations
Sergey Levine2:00 PM - Invited Talk: Learning to Understand Natural Language Instructions through Human-Robot Dialog
Raymond Mooney2:30 PM - Contributed Talk: The Implicit Preference Information in an Initial State . pdf
Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel and Anca Dragan2:45 PM - Contributed Talk: Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. pdf
Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee and Samuel Kaski3:30 PM - 4:15 PM : Poster Session
Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing. pdf
Carolin Lawrence and Stefan RiezlerTeacher-Student Adaptation for Video Segmentation via Human Robot Interaction (HRI). pdf
Mennatullah Siam, Chen Jiang, Steven Lu, Laura Petrich, Mahmoud Gamal, Mohamed ElHoseiny and Martin JagersandWhat Would pi* Do?: Imitation Learning via Off-Policy Reinforcement Learning. pdf
Siddharth Reddy, Anca Dragan and Sergey LevineUsing Natural Language Descriptions to Guide Zero-Shot Image Classification: A Meta-Learning Approach.
R. Lily Hu, Caiming Xiong and Richard SocherTeaching with IMPACT . pdf
Carl Trimbach and Michael LittmanMeta-Learning Language-Guided Policy Learning. pdf
John Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, John DeNero, Pieter Abbeel and Sergey LevineTraining an Interactive Helper. pdf
Mark Woodward, Chelsea Finn and Karol HausmanLearning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors. pdf
Fang-I Hsiao, Jui-Hsuan Kuo and Min SunAdvice-Based Exploration in Model-Based Reinforcement Learning. pdf
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano and Sheila McIlraithReward-adjusted diameters of a Markov decision process and their conditioning by potential-based reward shaping. pdf
Falcon Z. Dai and Matthew WalterGenerating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. pdf
Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, Ali Eslami, Oriol Vinyals and Tejas KulkarniTowards an IDE for agent design. pdf
Matthew Rahtz, James Fang, Anca Dragan and Dylan Hadfield-MenellInvestigating Machine-Learning Interaction with Wizard-of-Oz Experiments. pdf
Rob Sheline and Chris MacLellanOne-shot Semantic Parsing. pdf
Brian Lu, Igor Labutov, Bishan Yang, Tom Mitchell4:15 PM - Contributed Talk: Assisted Inverse Reinforcement Learning . pdf
Parameswaran Kamalaruban, Rati Devidze, Teresa Yeo, Trisha Mittal, Volkan Cevher and Adish Singla4:30 PM - Invited Talk: Teaching through Dialogue and Games
Jason WestonPanel discussion from 5 PM - 5:45 PM
Panel: Yoav Artzi, Percy Liang, Ray Mooney, Peter Stone, Jason Weston