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AAAI
1994
13 years 9 months ago
Learning Explanation-Based Search Control Rules for Partial Order Planning
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
Suresh Katukam, Subbarao Kambhampati
ICML
1995
IEEE
14 years 8 months ago
Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition
This paper describes an approach to automatically learn planning operators by observing expert solution traces and to further refine the operators through practice in a learning-b...
Xuemei Wang
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning physically-instantiated game play through visual observation
Abstract— We present an integrated vision and robotic system that plays, and learns to play, simple physically-instantiated board games that are variants of TIC TAC TOE and HEXAP...
Andrei Barbu, Siddharth Narayanaswamy, Jeffrey Mar...
RSS
2007
151views Robotics» more  RSS 2007»
13 years 9 months ago
Predicting Partial Paths from Planning Problem Parameters
— Many robot motion planning problems can be described as a combination of motion through relatively sparsely filled regions of configuration space and motion through tighter p...
Sarah Finney, Leslie Pack Kaelbling, Tomás ...
COLT
2008
Springer
13 years 9 months ago
Learning from Collective Behavior
Inspired by longstanding lines of research in sociology and related fields, and by more recent largepopulation human subject experiments on the Internet and the Web, we initiate a...
Michael Kearns, Jennifer Wortman