Results 31 to 40 of about 8,751,520 (309)
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning
Frontiers in Robotics and AI, 2019 Several approaches have been proposed to assist humans in co-manipulation and teleoperation tasks given demonstrated trajectories. However, these approaches are not applicable when the demonstrations are suboptimal or when the generalization capabilities
Marco Ewerton +9 more
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Monetary policy decision-making when information search is costly [PDF]
Banks and Bank Systems, 2016 This paper explores monetary policy decision-making within an insurance model with expected utility-maximizing policy-makers. The authors consider that policy-makers are different in terms of their backgrounds, experience and skills and they may disagree
Alexander Jung, Francesco Paolo Mongelli
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Is Google the next Microsoft? Competition, Welfare and Regulation in Internet Search [PDF]
, 2008 Internet search (or perhaps more accurately `web-search') has grown exponentially over the last decade at an even more rapid rate than the Internet itself. Starting from nothing in the 1990s, today search is a multi-billion dollar business. Search engine
Pollock, Rufus
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Assisting Movement Training and Execution With Visual and Haptic Feedback
Frontiers in Neurorobotics, 2018 In the practice of motor skills in general, errors in the execution of movements may go unnoticed when a human instructor is not available. In this case, a computer system or robotic device able to detect movement errors and propose corrections would be ...
Marco Ewerton +8 more
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State youth policy: search for an integrative model formation
Наука. Культура. Общество, 2023 A period has come in Russia when institutional transformations in matters of state youth policy (GMP) are objectively necessary. They presuppose the formation and development of a coherent system of youth affairs bodies, ensuring coordination of efforts ...
Andrey V. Kochetkov
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Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics [PDF]
, 2018 The most data-efficient algorithms for reinforcement learning in robotics are model-based policy search algorithms, which alternate between learning a dynamical model of the robot and optimizing a policy to maximize the expected return given the model ...
Chatzilygeroudis, Konstantinos +1 more
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A Markov chain Monte Carlo algorithm for Bayesian policy search
Systems Science & Control Engineering, 2018 Policy search algorithms have facilitated application of Reinforcement Learning (RL) to dynamic systems, such as control of robots. Many policy search algorithms are based on the policy gradient, and thus may suffer from slow convergence or local optima ...
Vahid Tavakol Aghaei +2 more
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Fine Grained and Efficient Searchable Encryption Scheme Based on Attribute Policy Hiding inCloud Environment [PDF]
Jisuanji kexue, 2023 Attribute based encryption provides flexible and fine-grained access control for outsourced data stored in the cloud.The traditional attribute based ciphertext policy encryption scheme(CP-ABE),whose access policy often appears in the form of plaintext,is
ZHOU Yihua, LI Meiqi, HU Xinyu, YANG Yuguang
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Consumer Search and Public Policy
Journal of Consumer Research, 1981 Consumers acquire information from a variety of internal and external sources. Sources differ in their abilities to convey different kinds of information. This paper examines the implications of these sources for designing government information programs.
Beales, J. Howard. +3 more
openaire +2 more sources
Métropoles, 2013 Studies of urban public policy in Italy heretofore have highlighted the absence of attention to urban questions in the national political agenda until 1990, and afterwards the fragmentation of public initiatives, due to the lack of effective tools for ...
Massimo Allulli, Walter Tortorella
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