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IROS
2006
IEEE
119views Robotics» more  IROS 2006»
15 years 8 months ago
Learning Similar Tasks From Observation and Practice
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
122
Voted
UAI
1998
15 years 3 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
99
Voted
DAGSTUHL
2003
15 years 3 months ago
Towards Imitation Learning from a Viewpoint of an Internal Observer
How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a c...
Yuichiro Yoshikawa, Minoru Asada, Koh Hosoda
106
Voted
FLAIRS
2006
15 years 3 months ago
One-Shot Procedure Learning from Instruction and Observation
Learning tasks from a single demonstration presents a significant challenge because the observed sequence is inherently an incomplete representation of the procedure that is speci...
Hyuckchul Jung, James F. Allen, Nathanael Chambers...
ICCBR
2010
Springer
15 years 5 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...