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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 4 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ICECCS
2009
IEEE
106views Hardware» more  ICECCS 2009»
14 years 4 months ago
Visual Comparison of Graphical Models
Collaborative development, incremental design and revision management require the ability to compare different versions of software artifacts. There are well-established approache...
Arne Schipper, Hauke Fuhrmann, Reinhard von Hanxle...
HRI
2006
ACM
14 years 3 months ago
Teaching robots by moulding behavior and scaffolding the environment
Programming robots to carry out useful tasks is both a complex and non-trivial exercise. A simple and intuitive method to allow humans to train and shape robot behaviour is clearl...
Joe Saunders, Chrystopher L. Nehaniv, Kerstin Daut...
SIGMOD
2005
ACM
156views Database» more  SIGMOD 2005»
14 years 10 months ago
Model-driven design of service-enabled web applications
Significant efforts are currently invested in application integration to enable the interaction and composition of business processes of different companies, yielding complex, mul...
Marco Brambilla, Stefano Ceri, Piero Fraternali, R...
EICS
2010
ACM
14 years 3 months ago
Self-explanatory user interfaces by model-driven engineering
Modern User Interfaces (UI) must deal with the increasing complexity of applications as well as new features such as the capacity of UIs to be dynamically adapted to the context o...
Alfonso García Frey