14,855 research outputs found
What Can Labor Productivity Tell Us About the U.S. Economy?
[Excerpt] This issue of Beyond the Numbers focuses on labor productivity and the corresponding changes in output and labor hours data in the context of historical and business cycle periods; a case study of the Great Recession of 2007 to 2009 is provided as an example of using labor productivity data to analyze cyclical changes in an economy
Veterans' Health Care: Balancing Resources and Responsibilities
This paper looks at the health care benefits and services administered by the U.S. Department of Veterans Affairs. It examines management strategies adopted within the department to allocate resources, structure benefits, and improve quality. Some recommendations made by the General Accounting Office and the President's Task Force to Improve Health Care Delivery for Our Nation's Veterans are reviewed, in particular the emphasis of the latter on increased collaboration with the Department of Defense. Long-term proposals to balance service commitments and financing also are considered
An analysis of fifth-grade pupils' subject preferences in relation to their teachers' preferences.
Thesis (Ed.M.)--Boston Universit
Quick connect coupling
A coupling device has a transversely arranged, open-end groove in a flange attached to a pipe end. The groove in the flange receives a circumferentially arranged locking flange element on the other coupling member and permits alignment of the bores of the coupling members when the locking flange element is in the open end groove. Upon alignment of the bores of the coupling members, a trigger member is activated to automatically release a spring biased tubular member in one of the coupling members. The tubular member has a conical end which is displaced into the other coupling member to lock the coupling members to one another. A tensioning nut is threadedly movable on a coupling member so as to be moved into tightening engagement with the other coupling member
Adding Neural Network Controllers to Behavior Trees without Destroying Performance Guarantees
In this paper, we show how Behavior Trees that have performance guarantees,
in terms of safety and goal convergence, can be extended with components that
were designed using machine learning, without destroying those performance
guarantees.
Machine learning approaches such as reinforcement learning or learning from
demonstration can be very appealing to AI designers that want efficient and
realistic behaviors in their agents. However, those algorithms seldom provide
guarantees for solving the given task in all different situations while keeping
the agent safe. Instead, such guarantees are often easier to find for manually
designed model based approaches. In this paper we exploit the modularity of
Behavior trees to extend a given design with an efficient, but possibly
unreliable, machine learning component in a way that preserves the guarantees.
The approach is illustrated with an inverted pendulum example.Comment: Submitted to IEEE Transactions on Game
- …