Mike Barley

Publication Activity (10 Years)

Years Active: 2002-2020
Publications (10 Years): 4

Top Topics

Pattern Databases

Subset Selection

Prize Collecting

Top Venues

Australasian Conference on Artificial Intelligence

Publications

Vidal Alcázar, Patricia J. Riddle, Mike Barley
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search. AAAI (2020)
Vidal Alcázar, Mike Barley, Patricia J. Riddle
A Theoretical Comparison of the Bounds of MM, NBS, and GBFHS. SOCS (2019)
Santiago Franco, Álvaro Torralba, Levi H. S. Lelis, Mike Barley
On Creating Complementary Pattern Databases. IJCAI (2017)
Levi H. S. Lelis, Santiago Franco, Marvin Abisrror, Mike Barley, Sandra Zilles, Robert C. Holte
Heuristic Subset Selection in Classical Planning. IJCAI (2016)
Chris Pearce, Ben Leon Meadows, Pat Langley, Mike Barley
Social Planning: Achieving Goals by Altering Others' Mental States. AAAI (2014)
Ben Leon Meadows, Patricia J. Riddle, Cameron Skinner, Mike Barley
Evaluating the Seeding Genetic Algorithm. Australasian Conference on Artificial Intelligence (2013)
Safurah Binti Abdul Jalil, Brabbyn Osburn, Jingwen Huang, Mike Barley, Marin Markovich, Robert Amor
Avatars at a meeting. CHINZ (2012)
Cameron Skinner, Mike Barley
Robocup Rescue Simulation Competition: Status Report. RoboCup (2005)
Jonathan Teutenberg, Mike Barley
Creating Better Abstract Operators. SARA (2005)
Gary Cleveland, Mike Barley
An Approach to Safe Continuous Planning. PRIMA (2004)
Mike Barley, Hans W. Guesgen, Gareth Karl
An Architecture for a Three-Tier Path-Finder. J. Univers. Comput. Sci. 8 (8) (2002)
Jussi Karlgren, Pentti Kanerva, Björn Gambäck, Kenneth D. Forbus, Kagan Tumer, Peter Stone, Kai Goebel, Gaurav S. Sukhatme, Tucker R. Balch, Bernd Fischer, Doug Smith, Sanda M. Harabagiu, Vinay K. Chaudri, Mike Barley, Hans W. Guesgen, Thomas F. Stahovich, Randall Davis, James A. Landay
The 2002 AAAI Spring Symposium Series. AI Mag. 23 (4) (2002)
Michael Goebel, Patricia J. Riddle, Mike Barley
A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance. ICML (2002)