Results 21 to 30 of about 8,751,520 (309)
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension [PDF]
Findings, 2020 Reading comprehension models often overfit to nuances of training datasets and fail at adversarial evaluation. Training with adversarially augmented dataset improves robustness against those adversarial attacks but hurts generalization of the models.
Adyasha Maharana, Mohit Bansal
semanticscholar +1 more source
MPC-Net: A First Principles Guided Policy Search [PDF]
IEEE Robotics and Automation Letters, 2019 We present an Imitation Learning approach for the control of dynamical systems with a known model. Our policy search method is guided by solutions from Model Predictive Control (MPC).
Jan Carius +2 more
semanticscholar +1 more source
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials [PDF]
IEEE Transactions on robotics, 2018 Most policy search (PS) algorithms require thousands of training episodes to find an effective policy, which is often infeasible with a physical robot. This survey article focuses on the extreme other end of the spectrum: how can a robot adapt with only ...
Konstantinos Chatzilygeroudis +4 more
semanticscholar +1 more source
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
Black-box data-efficient policy search for robotics [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2017 The most data-efficient algorithms for reinforcement learning (RL) in robotics are based on uncertain dynamical models: after each episode, they first learn a dynamical model of the robot, then they use an optimization algorithm to find a policy that ...
Konstantinos Chatzilygeroudis +5 more
semanticscholar +1 more source