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AAAI
2006
14 years 17 days ago
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
Sooraj Bhat, Charles Lee Isbell Jr., Michael Matea...
JMLR
2010
136views more  JMLR 2010»
13 years 6 months ago
Conceptual Imitation Learning: An Application to Human-robot Interaction
In general, imitation is imprecisely used to address different levels of social learning from high level knowledge transfer to low level regeneration of motor commands. However, t...
Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mos...
EUROPAR
2009
Springer
14 years 3 months ago
StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures
Abstract. In the field of HPC, the current hardware trend is to design multiprocessor architectures that feature heterogeneous technologies such as specialized coprocessors (e.g., ...
Cédric Augonnet, Samuel Thibault, Raymond N...
EXPERT
2002
129views more  EXPERT 2002»
13 years 11 months ago
Modeling and Simulating Work Practice: A Method for Work Systems Design
er than abstracting human behavior as work processes or tasks--functional idealizations of the work to be accomplished--we model people's activities comprehensively and chrono...
Maarten Sierhuis, William J. Clancey
CIKM
2008
Springer
14 years 1 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan