Results 21 to 30 of about 12,004,986 (327)
Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality [PDF]
This paper studies offline policy learning, which aims at utilizing observations collected a priori (from either fixed or adaptively evolving behavior policies) to learn an optimal individualized decision rule that achieves the best overall outcomes for ...
Ying Jin +3 more
semanticscholar +1 more source
In this conceptual paper, we describe the approach in storylines that builds on principles of project-based learning and focuses on supports for making science learning coherent from the students’ perspective.
William R. Penuel +5 more
doaj +1 more source
Learning from Policy Failure and Failing to Learn from Policy [PDF]
Evaluation studies provide a key source of learning from policy success and failure. Policy interventions and their evaluation are, however, drenched in inescapable complexity. This makes it more difficult to evaluate this kind of intervention in the highly regarded randomized experimental design.
Stronks, Karien +2 more
openaire +3 more sources
How does policy learning take place across a multilevel governance architecture during crises?
Policy learning plays a significant role in shaping policy during crises. While scholarship has explored many of the mechanisms and outcomes of such learning, little is known about how policy learning takes place across different levels of a multilevel ...
B. Zaki, Ellen Wayenberg
semanticscholar +1 more source
POETREE: Interpretable Policy Learning with Adaptive Decision Trees [PDF]
Building models of human decision-making from observed behaviour is critical to better understand, diagnose and support real-world policies such as clinical care.
Alizée Pace, Alex J. Chan, M. Schaar
semanticscholar +1 more source
Innovation Policy Learning in Iran’s Development Plans
Apart from “future-shaping” tools (such as forecasting, scenario planning, etc.), many countries also use “backward-looking” approaches to develop long-term strategies for switching to a new economic model.
Kiarash Fartash +3 more
doaj +1 more source
Policy Learning With Observational Data [PDF]
In many areas, practitioners seek to use observational data to learn a treatment assignment policy that satisfies application‐specific constraints, such as budget, fairness, simplicity, or other functional form constraints. For example, policies may be restricted to take the form of decision trees based on a limited set of easily observable individual ...
Athey, Susan, Wager, Stefan
openaire +3 more sources
Policy Experimentation in China: the Political Economy of Policy Learning
Many governments have engaged in policy experimentation in various forms to resolve uncertainty and facilitate learning. However, little is understood about the characteristics of policy experimentation, and how the structure of experimentation may ...
Shaoda Wang, David Y. Yang
semanticscholar +1 more source
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation [PDF]
Conversational recommendation system (CRS) is able to obtain fine-grained and dynamic user preferences based on interactive dialogue. Previous CRS assumes that the user has a clear target item, which often deviates from the real scenario, that is for ...
Yiming Zhang +7 more
semanticscholar +1 more source
Linking compliance and policy learning
This article analyzes the link between compliance and policy learning. It argues that member states that tend to comply with EU regulations are also more prone to learn from EU soft law instruments, such as the Open Method of Co-ordination (OMC).
Thenia Vagionaki
doaj +1 more source

