Computational and Robotic Models of the Hierarchical by Gianluca Baldassarre, Marco Mirolli
By Gianluca Baldassarre, Marco Mirolli
Current robots and different man made structures tend to be in a position to accomplish just one unmarried job. Overcoming this drawback calls for the advance of keep an eye on architectures and studying algorithms that could help the purchase and deployment of numerous diverse talents, which in flip turns out to require a modular and hierarchical association. during this manner, diversified modules can collect diverse abilities with no catastrophic interference, and higher-level parts of the method can clear up complicated projects through exploiting the talents encapsulated within the lower-level modules. whereas laptop studying and robotics realize the basic significance of the hierarchical association of habit for development robots that scale as much as clear up advanced projects, study in psychology and neuroscience exhibits expanding proof that modularity and hierarchy are pivotal association rules of habit and of the mind. they may even result in the cumulative acquisition of an ever-increasing variety of abilities, which looks a attribute of mammals, and people in particular.
This ebook is a finished review of the cutting-edge at the modeling of the hierarchical association of habit in animals, and on its exploitation in robotic controllers. The e-book standpoint is very interdisciplinary, that includes types belonging to all appropriate components, together with computer studying, robotics, neural networks, and computational modeling in psychology and neuroscience. The ebook chapters assessment the authors' most modern contributions to the research of hierarchical habit, and spotlight the open questions and such a lot promising learn instructions. because the contributing authors are one of the pioneers conducting basic paintings in this subject, the ebook covers an important and topical matters within the box from a computationally educated, theoretically orientated point of view. The e-book may be of profit to educational and business researchers and graduate scholars in similar disciplines.
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Additional info for Computational and Robotic Models of the Hierarchical Organization of Behavior
2. Parameterized Options. One limitation of the option model of a skill is that most skills, as the term is ordinarily used, seem more flexible than options. What we may think of as a single skill, for instance, throwing a ball, would correspond to many different options whose policies would differ depending on the type of ball, its desired trajectory, etc. Because option policies are closed-loop, the behaviors that options specify are reactive to state information, which could include desired trajectory specifics.
Menlo Park: AAAI Press. Murphy, K. (2001). Active learning of causal Bayes net structure. Technical report, Computer Science Division, University of California, Berkeley CA. , Peters, J. (2009). Learning complex motions by sequencing simpler motion templates. In A. P. Danyluk, L. Bottou, M. L. ), Proceedings of the 26th annual international conference on machine learning, ICML 2009. ACM international conference proceeding series (vol. 382, pp. 753–760). New York: ACM. , Shaw, J. , Simon, H. A. (1963).
Barto, A. (2011a). Autonomous skill acquisition on a mobile manipulator. In W. Burgard & D. ), Proceedings of the twenty-fifth AAAI conference on artificial intelligence, AAAI 2011 (pp. 1468–1473). San Francisco: AAAI. , Barto, A. (2012b). Robot learning from demonstration by constructing skill trees. The International Journal of Robotics Research, 31, 360–375. , Thomas, P. (2011b). Value function approximation in reinforcement learning using the Fourier basis. In W. Burgard & D. ), Proceedings of the twenty-fifth AAAI conference on artificial intelligence, AAAI 2011 (pp.