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pro vyhledávání: '"Willi Richert"'
Build intelligent end-to-end machine learning systems with PythonKey FeaturesUse scikit-learn and TensorFlow to train your machine learning modelsImplement popular supervised and unsupervised machine learning algorithms in PythonDiscover best practic
Autor:
Willi Richert, Luis Pedro Coelho
Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need.Key FeaturesMaster Machine Learning using a br
Publikováno v:
Organic Computing — A Paradigm Shift for Complex Systems ISBN: 9783034801294
Organic Computing
Organic Computing
In this article we present an approach that enables robots to learn how to act and react robustly in continuous and noisy environments while not loosing track of the overall feasibility, i.e. minimising the execution time in order to keep up continuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::257de12148ba42022614d3fb59294868
https://doi.org/10.1007/978-3-0348-0130-0_36
https://doi.org/10.1007/978-3-0348-0130-0_36
Publikováno v:
Organic Computing — A Paradigm Shift for Complex Systems ISBN: 9783034801294
Organic Computing
Organic Computing
The paradigm of imitation provides a powerful means for increasing the overall learning speed in a group of robots. While separately exploring the environment in order to learn how to behave with respect to a pre-defined goal, a robot gathers experie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5bc60a5100ef711e8fac14e54d79bbd
https://doi.org/10.1007/978-3-0348-0130-0_19
https://doi.org/10.1007/978-3-0348-0130-0_19
Publikováno v:
ICAS
Successful rescue operations after big accidents or natural disasters require a fast and efficient overview of the overall situation. With recent advances, unmanned aerial vehicles (UAVs) are more and more a viable choice under such circumstances.Wit
Publikováno v:
ADPRL
Although the combination of Reinforcement Learning and imitation has been already considered in recent research, it always revolved around fixed settings where demonstrator and imitator are fixed and the imitation process is a well-defined period of
Publikováno v:
ICAS
Because imitation has shown to be able to drastically cut down the exploration space it has been embraced largely by the robotics community to speed up autonomous learning. This has been done mostly in fixed demonstrator-imitator relationships, where
Publikováno v:
IROS
With imitation robots have a powerful means to drastically cut down the exploration space. However, as existing imitation approaches usually require repetitive demonstrations of the skill to learn in order to be useful, those are typically not applic
Guiding Exploration by Combining Individual Learning and Imitation in Societies of Autonomous Robots
Publikováno v:
Biologically-Inspired Collaborative Computing ISBN: 9780387096544
BICC
BICC
Robots have a powerful means to drastically cut down the exploration space with imitation. However, as existing imitation approaches usually require repetitive demonstrations of the skill to learn in order to be useful, those are typically not applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae3b19afbd8e5f4585b71d3bf0542f1
https://doi.org/10.1007/978-0-387-09655-1_21
https://doi.org/10.1007/978-0-387-09655-1_21
Publikováno v:
Biologically-Inspired Collaborative Computing ISBN: 9780387096544
BICC
BICC
Imitation is not only a powerful means to drastically downsize the exploration space when learning behavior. It also helps to align the learning efforts of a robot group towards a common goal. However, one prerequisite in imitation, the decision of w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec97ac98af2b39f45d131d4e8c4b8d1
https://doi.org/10.1007/978-0-387-09655-1_10
https://doi.org/10.1007/978-0-387-09655-1_10