Results 121 to 130 of about 12,004,986 (327)
International Review of Public PolicyPolicy learning is a key mechanism of policy change through which policy actors revise their beliefs and preferences over time as a result of social interactions and new information.
Stéphane Moyson
doaj +1 more source
Ecology and Society, 2014 In this case study, I examine the quality of decision-making under conditions of rapidly evolving urban water crises, and the adaptive policy challenges of building regional resilience in response to both drought and flood.
Brian W. Head
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BMC Health Services Research, 2020 Background Electronic data capturing has the potential to improve data quality and user-friendliness compared to manually processed, paper-based documentation systems.
Annika Äijö +5 more
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Bayesian and adaptive optimal policy under model uncertainty [PDF]
, 2006 We study the problem of a policymaker who seeks to set policy optimally in an economy where the true economic structure is unobserved, and policymakers optimally learn from their observations of the economy.
Svensson, Lars E.O., Williams, Noah
core
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Pathways to learning in data-based policy innovation labs
International Review of Public PolicyIn recent years, policy innovation labs (PILs) have emerged to develop greater capacity for addressing pressing public policy problems and achieving policy objectives.
Sojeong Kim +2 more
doaj +1 more source
Failure in policy lesson drawing; A critical review of the experience of privatization in Iran [PDF]
بهبود مدیریت, 2019 The purpose of this study is to provide a model for learning from general policies. This study intends to look deeply into the privatization policy, to examine and explain the understanding and improvement of learning from domestic experiences as well as
Aryan Azimi +3 more
doaj
Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids
IEEE Transactions on Smart Grid, 2019 This article presents a supervised multi-agent safe policy learning (SMAS-PL) method for optimal power management of networked microgrids (MGs) in distribution systems.
Qianzhi Zhang +4 more
semanticscholar +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source