Results 201 to 210 of about 2,392,451 (238)
Some of the next articles are maybe not open access.

Numerical Quadrature for Probabilistic Policy Search

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Learning control policies has become an appealing alternative to the derivation of control laws based on classic control theory. Model-based approaches have proven an outstanding data efficiency, especially when combined with probabilistic models to eliminate model bias. However, a major difficulty for these methods is that multi-step-ahead predictions
Julia Vinogradska   +4 more
openaire   +3 more sources

Relative Entropy Policy Search

Proceedings of the AAAI Conference on Artificial Intelligence, 2010
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature convergence and implausible solutions. As first suggested in the context of covariant policy gradients, many of these problems may be addressed by constraining the
Peters, J., Mülling, K., Altun, Y.
openaire   +2 more sources

Searching for Good Policies

American Political Science Review, 2011
Policymaking is hard. Policymakers typically have imperfect information about which policies produce which outcomes, and they are left with little choice but to fumble their way through the policy space via a trial-and-error process. This raises a question at the heart of democracy: Do democratic systems identify good policies?
openaire   +1 more source

SEARCH, LIMITED PARTICIPATION, AND MONETARY POLICY* [PDF]

open access: possibleInternational Economic Review, 2006
A model is developed that employs recent developments in the literature on search models of money to capture the distributional effects of monetary policy in a tractable way. Deterministic and stochastic versions of the model are studied. Money is not neutral, and these nonneutralities persist, whether or not the change in the money supply is ...
openaire   +1 more source

Policy Search in Kernel Hilbert Space

2003
Much recent work in reinforcement learning and stochastic optimal control has focused on algorithms that search directly through a space of policies rather than building approximate value functions. Policy search has numerous advantages: it does not rely on the Markov assumption, domain knowledge may be encoded in a policy, the policy may require less ...
J. Andrew. Bagnell, Schneider, Jeff
openaire   +1 more source

Searching for a Rationale for Search Design Policy

SSRN Electronic Journal, 2016
This paper concurs in the debate about search design and the antitrust action that the European Commission is bringing against Google in Europe. Faced with the radical changes that the internet has brought to markets and social life, antitrust principles and paradigm of analysis are still be applied as if we were dealing in a world of brick-and-mortar ...
Massimiliano Granieri, Valeria Falce
openaire   +1 more source

In Search of Stem Cell Policy

Science, 2000
T he pursuit and production of knowledge through scientific research offer enormous intellectual rewards while also performing an important social function. Human stem cell research holds great promise of falling into this category, as reflected in the papers appearing in this special issue.
openaire   +2 more sources

Policies for Online Search

2016
The volume of information on the Internet is incomprehensible and growing exponentially. With such a vast ocean of information available, search engines have become an indispensible tool for virtually all users. Yet much of what is available online is potentially objectionable, controversial, or harmful.
openaire   +1 more source

How can hospitals change practice to better implement smoking cessation interventions? A systematic review

Ca-A Cancer Journal for Clinicians, 2022
Anna Ugalde   +2 more
exaly  

The Search for Policy

2021
G. Narayana, John F. Kantner
openaire   +1 more source

Home - About - Disclaimer - Privacy