Policy mixes and the policy learning process of energy transitions: Insights from the feed-in tariff policy and urban community solar in Hong Kong
Sign Up to like & getrecommendations! Published in 2021 at "Energy Policy"
DOI: 10.1016/j.enpol.2021.112214
Abstract: Abstract Effectiveness of renewable energy feed-in tariff (FiT) varies across the world. Designing policy mixes of a package of policy instruments to optimise the normative effect of FiT is critical but has remained challenging and… read more here.
Keywords: community; policy learning; policy; policy mixes ... See more keywords
Do forest policy actors learn through forward-thinking? Conflict and cooperation relating to the past, present and futures of sustainable forest management in Germany
Sign Up to like & getrecommendations! Published in 2017 at "Forest Policy and Economics"
DOI: 10.1016/j.forpol.2016.11.011
Abstract: Abstract Collaborative participatory policy approaches based on foresight methodology have recently been proposed as promising governance tools to achieve sustainability in general, and address and manage challenges of integrating competing demands on forest land use… read more here.
Keywords: policy learning; policy; conflict; forest policy ... See more keywords
Networked controller and observer design of discrete-time systems with inaccurate model parameters.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2019.08.029
Abstract: This paper develops a novel off-policy Q-learning method to find the optimal observer gain and the optimal controller for achieving optimality of network-communication based linear discrete-time systems using only measured data. The primary advantage of… read more here.
Keywords: policy learning; discrete time; systems inaccurate; time systems ... See more keywords
Identification and off-policy learning of multiple objectives using adaptive clustering
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.04.074
Abstract: Abstract In this work, we present a methodology that enables an agent to make efficient use of its exploratory actions by autonomously identifying possible objectives in its environment and learning them in parallel. The identification… read more here.
Keywords: policy learning; adaptive clustering; multiple objectives; identification policy ... See more keywords
Patterns of policy learning in the RIS3 processes of less developed regions
Sign Up to like & getrecommendations! Published in 2020 at "Regional Studies"
DOI: 10.1080/00343404.2020.1762855
Abstract: ABSTRACT The implementation of the Smart Specialisation approach was expected to require an especially challenging commitment to policy learning in less advanced regions compared with advanced ones. This paper suggests a partially different analytical framework… read more here.
Keywords: policy learning; policy; ris3 processes; learning ris3 ... See more keywords
Personalized Policy Learning Using Longitudinal Mobile Health Data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1785476
Abstract: Abstract Personalized policy represents a paradigm shift one decision rule for all users to an individualized decision rule for each user. Developing personalized policy in mobile health applications imposes challenges. First, for lack of adherence,… read more here.
Keywords: policy learning; policy; personalized policy; mobile health ... See more keywords
Austerity’s failures and policy learning: mapping European Commission officials’ beliefs on fiscal governance in the post-crisis EU
Sign Up to like & getrecommendations! Published in 2020 at "Review of International Political Economy"
DOI: 10.1080/09692290.2020.1749868
Abstract: Abstract After an initial phase of firefighting against the euro crisis that began in 2010, one that was characterized by policies that focused on strict austerity, from 2014 onwards the European Commission gradually began to… read more here.
Keywords: policy learning; policy; commission; governance ... See more keywords
Development and formation of ESE policy: learning from teachers and local authorities
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Education Research"
DOI: 10.1080/13504622.2020.1847255
Abstract: Abstract In this qualitative case study, we adopted theories of street-level bureaucracy and policy entrepreneurship to examine formation processes of environmental and sustainability education (ESE) policy at school and local government level. We focused on… read more here.
Keywords: policy learning; policy; formation ese; ese policy ... See more keywords
Policy Learning in Comparative Policy Analysis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Comparative Policy Analysis: Research and Practice"
DOI: 10.1080/13876988.2020.1762077
Abstract: This article explores how policy learning can improve comparative policy analysis by focusing on causality in learning processes. After summarizing the comparative credentials of the policy learnin... read more here.
Keywords: policy learning; policy; learning comparative; comparative policy ... See more keywords
Policy learning and crisis policy-making: quadruple-loop learning and COVID-19 responses in South Korea
Sign Up to like & getrecommendations! Published in 2020 at "Policy and Society"
DOI: 10.1080/14494035.2020.1785195
Abstract: ABSTRACT This study aims to analyze how the Korean government has been effective in taming COVID-19 without forced interruptions (i.e. lockdowns) of citizens’ daily lives. Extending the theory of organizational learning, we propose the quadruple-loop… read more here.
Keywords: policy learning; policy; learning crisis; quadruple loop ... See more keywords
Fast Stochastic MPC Implementation via Policy Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3182643
Abstract: Stochastic Model Predictive Control (MPC) gained popularity thanks to its capability of overcoming the conservativeness of robust approaches, at the expense of a higher computational demand. This represents a critical issue especially for sampling-based methods.… read more here.
Keywords: stochastic mpc; policy learning; mpc implementation; mpc ... See more keywords