Results 81 to 90 of about 12,004,986 (327)
Learning with Options that Terminate Off-Policy
, 2017 A temporally abstract action, or an option, is specified by a policy and a termination condition: the policy guides option behavior, and the termination condition roughly determines its length.
Bacon, Pierre-Luc +4 more
core +1 more source
Deep Visual MPC-Policy Learning for Navigation [PDF]
IEEE Robotics and Automation Letters, 2019 Humans can routinely follow a trajectory defined by a list of images/landmarks. However, traditional robot navigation methods require accurate mapping of the environment, localization, and planning. Moreover, these methods are sensitive to subtle changes
N. Hirose +4 more
semanticscholar +1 more source
Arthritis Care &Research, Accepted Article.Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase (MMP)‐7, and serum anti‐malondialdehyde‐acetaldehyde (anti‐MAA) antibody for RA‐associated interstitial lung disease risk stratification. Methods Using a multicenter cohort of US veterans with RA, we performed a cross‐
Kelsey Coziahr +16 more
wiley +1 more source
An Overview of Discourses on Knowledge in Policy: Thinking Knowledge, Policy and Conflict Together
Central European Journal of Public Policy, 2015 Around the world, there is a growing interest among policy scholars and practitioners in the role of knowledge in relation to public policy. These debates are accompanied by some confusion about what is meant by knowledge or evidence, as well as ...
Sedlačko Michal, Staroňová Katarína
doaj +1 more source
Efficient Robot Skills Learning with Weighted Near-Optimal Experiences Policy Optimization
Applied Sciences, 2021 Autonomous learning of robotic skills seems to be more natural and more practical than engineered skills, analogous to the learning process of human individuals.
Liwei Hou +3 more
doaj +1 more source
Promising State Policies for Personalized Learning [PDF]
, 2016 This report is a valuable resource for state policymakers—whether they are seeking to create conditions in state policy to support personalized learning, moving forward with initiatives to develop personalized learning pilot programs, hosting task forces
Dale Frost +3 more
core
EU economic governance and Covid-19: policy learning and windows of opportunity
, 2020 This article analyses the extent to which the Covid-19 pandemic crisis represents a window of opportunity towards fundamental change in the economic governance of the European Union (EU).
S. Ladi, Dimitris Tsarouhas
semanticscholar +1 more source
Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial
Arthritis Care &Research, Accepted Article.Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
, 2019 Value-based reinforcement-learning algorithms provide state-of-the-art results in model-free discrete-action settings, and tend to outperform actor-critic algorithms. We argue that actor-critic algorithms are limited by their need for an on-policy critic.
AG Barto +7 more
core +2 more sources
COVID-19 Pandemic and Comparative Health Policy Learning in Iran.
Archives of Iranian medicine, 2020 BACKGROUND On March 11, 2020, the World Health Organization (WHO) declared the novel coronavirus disease (COVID-19) a global pandemic. Starting in December 2019 from China, the first cases were officially announced on February 19 in Qom city, Iran. As of
Azam Raoofi +5 more
semanticscholar +1 more source