Results 11 to 20 of about 2,392,451 (238)
Proximal Policy Optimization for Radiation Source Search
Journal of Nuclear Engineering, 2021 Rapid search and localization for nuclear sources can be an important aspect in preventing human harm from illicit material in dirty bombs or from contamination. In the case of a single mobile radiation detector, there are numerous challenges to overcome
Philippe Proctor +3 more
doaj +1 more source
Compatible natural gradient policy search [PDF]
Machine Learning, 2019 Trust-region methods have yielded state-of-the-art results in policy search. A common approach is to use KL-divergence to bound the region of trust resulting in a natural gradient policy update. We show that the natural gradient and trust region optimization are equivalent if we use the natural parameterization of a standard exponential policy ...
Joni Pajarinen +4 more
openaire +7 more sources
Policy implications for familial searching [PDF]
Investigative Genetics, 2011 Abstract In the United States, several states have made policy decisions regarding whether and how to use familial searching of the Combined DNA Index System (CODIS) database in criminal investigations. Familial searching pushes DNA typing beyond merely identifying individuals to detecting genetic relatedness, an application previously ...
Kim, Joyce +3 more
openaire +2 more sources
Quantum architecture search via truly proximal policy optimization
Scientific Reports, 2023 Quantum Architecture Search (QAS) is a process of voluntarily designing quantum circuit architectures using intelligent algorithms. Recently, Kuo et al. (Quantum architecture search via deep reinforcement learning.
Xianchao Zhu, Xiaokai Hou
doaj +1 more source
Improving the Effectiveness and Efficiency of Web-Based Search Tasks for Policy Workers
Information, 2023 We adapt previous literature on search tasks for developing a domain-specific search engine that supports the search tasks of policy workers. To characterise the search tasks we conducted two rounds of interviews with policy workers at the municipality ...
Thomas Schoegje +3 more
doaj +1 more source
Learning Classical Planning Strategies with Policy Gradient [PDF]
, 2019 A common paradigm in classical planning is heuristic forward search. Forward search planners often rely on simple best-first search which remains fixed throughout the search process.
Alrajeh, Dalal +2 more
core +2 more sources
Directed search, unemployment and public policy [PDF]
Canadian Journal of Economics/Revue canadienne d'économique, 2009 Abstract We examine the effects of public policy parameters in a simple directed search model of the labour market, and contrast them with those in standard random matching models with Nash bargaining. Both finite and limit versions of the directed search model are considered, and the value of the limit model as an approximation of the finite one is ...
Kennes, John +3 more
openaire +3 more sources
Expressive Attribute-based Searchable Encryption Scheme in Cloud Computing [PDF]
Jisuanji kexue, 2022 Searchable encryption technology can realize keyword search without decrypting the data,and thus well protects user'sprivate information.Aiming at the problem that most current searchable encryption schemes cannot support user-defined search strategies ...
GAO Shi-yao, CHEN Yan-li, XU Yu-lan
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source