Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
This dissertation explores algorithms for learning ranking functions to efficiently solve search problems, with application to automated planning. Specifically, we consider the frameworks of beam search, greedy search, and randomized search, which all aim to maintain tractability at the cost of not guaranteeing completeness nor optimality. Our learning objective for...
The concept of the "new father" has been discussed in the literature and popular
media for over 25 years. Yet current studies regarding father involvement continue to show that fathers do not contribute equally to childcare and domestic labor, even among parents in dual-income families. Furthermore, as roles within families...
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Richard A. Settersten, Jr.
The concept of the “new father” has been discussed in the
Recent demographic studies have revealed a greater diversity in settlement patterns among Mexican immigrant families resulting in rapidly climbing populations of immigrants in new areas of the country, particularly in rural areas, while growth in established destinations has slowed. Host communities play an important role in families' acculturation processes and...
The U.S. farm sector has undergone dramatic structural change during the
past fifty years, a chief result being that the number of large farms has increased
relative to the number of small farms. Numerous agricultural policies have been
instituted, with the partial objective of preserving the family farm. At the...
How can an agent generalize its knowledge to new circumstances? To learn
effectively an agent acting in a sequential decision problem must make intelligent action selection choices based on its available knowledge. This dissertation focuses on Bayesian methods of representing learned knowledge and develops novel algorithms that exploit the represented...
Pacific madrone, tanoak, and California black oak are the most economically promising native California hardwoods. Volume and value data indicate upward trends in growing stock levels and prices received for their products. These trends are likely to continue. They suggest research is particularly needed for: (1) seed fall and
regeneration,...
The Motor Systems Resource Facility (MSRF) at Oregon State University presently conducts a variety of steady state tests on Motors and Generators, with ratings of upto 300Hp.(225kW), using a dynamometer. The dynamometer consists of an induction motor fed by a power electronic converter. A control computer uses a serial link,...
This thesis considers the problem in which a teacher is interested in teaching action policies to computer agents for sequential decision making. The vast majority of policy
learning algorithms o er teachers little flexibility in how policies are taught. In particular,
one of two learning modes is typically considered: 1)...
As increasing numbers of poor children enter child care programs due to changes in work requirements under the Welfare Reform Act, there is a critical need to examine factors that may affect the quality of care that these children receive. One factor that has received limited attention in the literature...