Human-Machine Collaborative Learning
Papers from the 2017 AAAI Workshop
Hoda Eldardiry, Chair
AAAI Technical Report WS-17-11
This technical report was published as part of The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence: Technical Reports WS-17-01 – WS-17-15 by The AAAI Press, Palo Alto, California
Contents
Stochastic Search In Changing Situations
Abbas Abdolmaleki, David Simoes, Nuno Lau, Luis Paulo Reis, Bob Price, Gerhard Neumann
Using Options to Accelerate Learning of New Tasks According to Human Preferences
Rodrigo Cesar Bonini, Felipe Leno da Silva, Edison Spina, Anna Helena Reali Costa
Active Preference Elicitation for Planning
Mayukh Das, Md. Rakibul Islam, Janardhan Rao (Jana) Doppa, Dan Roth, Sriraam Natarajan
Adaptive Sample Selection for Hypothesis Falsification
P. Michael Furlong
Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling
Matthew Craig Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie Shah
Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs
Arnaud Grignard, Alexis Drogoul
Semantic Style Creation
Derrall Heath, Dan Ventura
Collaborative Autonomy through Analogical Comic Graphs
Matthew Evans Klenk, Shiwali Mohan, Johan de Kleer, Daniel G. Bobrow, Tom Hinrichs, Ken Forbus
WikiSeq: Mining Maximally Informative Simple Sequences from Wikipedia
Goutam Nair, Vikram Pudi
Making Robotic Sense of Incomplete Human Instructions in High-Level Programming for Industrial Robotic Assembly
Maj Stenmark, Mathias Haage, Elin Anna Topp, Jacek Malec
Artificial Intelligence and Expertise: The Two Faces of the Same Artificial Performance Coin
Matthieu Vergne
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