This experiment used a choice recognition time task. The subjects task was to decide whether a probe tone was or was not among a presented set of one to four tones. One of three cue conditions occured on each trial: the cue (a light) was presented immediately following the tone...
Human beings are condemned to freedom, according to Jean-Paul Sartre's Being and Nothingness. Every individual creates his or her own identity according to choice. Because we choose ourselves, each individual is also completely responsible for his or her actions. This responsibility causes anguish that leads human beings to avoid their...
Descriptions of the fire regime in the Douglas-fir/western hemlock region of the Pacific Northwest traditionally have emphasized infrequent, predominantly stand-replacement fires and an associated linear pathway of stand development, where all stands proceed along a common pathway until reset by the next fire. Although such a description may apply in...
A system to perform neutron radiographic analysis of dynamic
events taking place over the order of several milliseconds has been
developed at Oregon State University. The design consists of a TRIGA
reactor capable of pulsing to 3000 MW peak power, a neutron beam
collimator with an L/D of about 30:1,...
In recent years, model-free Deep Reinforcement Learning (RL) has become an increasingly popular alternative to more traditional model-based or optimization-based control methods in solving robotic legged locomotion. However, deploying RL in the real world can be a significant undertaking. Constructing reward functions which compel controllers to learn the desired behavior...
The study examined dimensions of the family context associated
with variations in parent involvement and parent perceptions of children's
school achievement using data from 1,085 male and 2,239 female
respondents with a child between the ages of 5 and 18 years collected in the
1987-88 National Survey of Families and...
Dynamic bipedal locomotion is among the most difficult and yet relevant problems in modern robotics. While a multitude of classical control methods for bipedal locomotion exist, they are often brittle or limited in capability. In recent years, work in applying reinforcement learning to robotics has lead to superior performance across...
Papers proposing novel machine learning algorithms tend to present the algorithm or technique in question in the best possible light. The standard practice is generally for authors to emphasize their proposed algorithms' performance in the precise setting where it is maximally impressive, often by only fully evaluating their best known...