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...
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...
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...
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...
This study, based on Brunswik's (1952, 1956) lens model,
examined the judgment policies employed by 67 art students
and faculty when they evaluate instruction. Four groups of
subjects, non-art majors, undergraduate art majors, graduate
and bachelor of fine arts students, and faculty members, judged
a series of 35 hypothetical teacher...
Due to the advantages of the high surface area and high porosity, Metal-Organic Framework (MOF) materials are widely used in gas storage. As a typical MOF material, Zeolitic Imidazolate Framework-8 (Zif-8) has high selectivity and adsorption capability of carbon dioxide (CO2). In this thesis, we investigated the infrared absorption of...
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...
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...