Results 141 to 150 of about 12,004,986 (327)

Learning from Crisis: COVID-19 Agenda and Policy Change and What it Means for a Future Research Agenda

International Review of Public Policy
The COVID-19 pandemic and crisis rapidly changed the public and policymaking agendas for governments worldwide. COVID-19 highlighted failures and problems associated with public health preparedness, economic vulnerability, emergency response protocols ...
Deserai Anderson Crow, Elizabeth A. Albright, Kristin Taylor, Rob DeLeo, Thomas Birkland, Elizabeth Shanahan   +5 more
doaj   +1 more source

Learning about monetary policy rules [PDF]

We study macroeconomic systems with forward-looking private sector agents and a monetary authority that is trying to control the economy through the use of a linear policy feedback rule. A typical finding in the burgeoning literature in this area is that
James Bullard, Kaushik Mitra
core  

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Genuine policy learning is fundamental: the journey of the United Arab Emirates toward the establishment of health technology assessment. [PDF]

Int J Technol Assess Health Care, 2023
Ahmad M, Akhras KS, Saleh S.
europepmc   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

THE OMC IN THE EUROPEAN EMPLOYMENT POLICY: BRINGING SOCIALISATION IN [PDF]

CES Working Papers, 2011
This paper argues in favour of a more thorough analysis of a specific set of dynamics taking place in the Open Method of Coordination (OMC), the latter being conceived as an informal organizational framework aimed at mutual learning (de Burca and Zeitlin,
Matia Vannoni
doaj  

Too conspicuous to fail: Copenhagen’s urban redevelopment and obstacles to sustainable city policy learning [PDF]

Present Environment and Sustainable Development
In the face of global problems, efforts are being made to construct sustainable city role models. However, the very proliferation of self-proclaimed exemplars of sustainable urbanism over the past decades suggests that planners and decisionmakers still ...
Adam GRYDEHØJ , Ilan KELMAN, Ping SU
doaj   +1 more source

Behavior policy learning: Learning multi-stage tasks via solution sketches and model-based controllers. [PDF]

Front Robot AI, 2022
Tsinganos K, Chatzilygeroudis K, Hadjivelichkov D, Komninos T, Dermatas E, Kanoulas D.   +5 more
europepmc   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Discussion of and : New Objectives for Policy Learning. [PDF]

J Am Stat Assoc, 2021
Li S, Li X, Luedtke A.
europepmc   +1 more source