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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
71

The effects of superimposing the same vs. qualitatively different food on responding maintained by a variable-interval schedule of reinforcement

Milo, Jessie-Sue. January 1900 (has links)
Thesis (M.A.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains iii, 58 p. : ill. Includes abstract. Includes bibliographical references (p. 30-32).
72

An operant blocking account of rule-governed behavior's insensitivity to local contingencies of reinforcement

León, Marta. January 2003 (has links)
Thesis (M.A.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains vii, 68 p. : ill. Includes abstract. Includes bibliographical references (p. 46-50).
73

The effects of shaping and instructing verbal behavior on human schedule performance

O'Shields, Elizabethann M. January 2003 (has links)
Thesis (M.A.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains vii, 85 p. : ill. Includes abstract. Includes bibliographical references (p. 47-50).
74

Resurgence of inaccurately instructed behavior

Aguilera, Carolina. January 2003 (has links)
Thesis (Ph. D.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains x, 95 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 87-90).
75

Structured exploration for reinforcement learning

Jong, Nicholas K. 18 December 2012 (has links)
Reinforcement Learning (RL) offers a promising approach towards achieving the dream of autonomous agents that can behave intelligently in the real world. Instead of requiring humans to determine the correct behaviors or sufficient knowledge in advance, RL algorithms allow an agent to acquire the necessary knowledge through direct experience with its environment. Early algorithms guaranteed convergence to optimal behaviors in limited domains, giving hope that simple, universal mechanisms would allow learning agents to succeed at solving a wide variety of complex problems. In practice, the field of RL has struggled to apply these techniques successfully to the full breadth and depth of real-world domains. This thesis extends the reach of RL techniques by demonstrating the synergies among certain key developments in the literature. The first of these developments is model-based exploration, which facilitates theoretical convergence guarantees in finite problems by explicitly reasoning about an agent's certainty in its understanding of its environment. A second branch of research studies function approximation, which generalizes RL to infinite problems by artificially limiting the degrees of freedom in an agent's representation of its environment. The final major advance that this thesis incorporates is hierarchical decomposition, which seeks to improve the efficiency of learning by endowing an agent's knowledge and behavior with the gross structure of its environment. Each of these ideas has intuitive appeal and sustains substantial independent research efforts, but this thesis defines the first RL agent that combines all their benefits in the general case. In showing how to combine these techniques effectively, this thesis investigates the twin issues of generalization and exploration, which lie at the heart of efficient learning. This thesis thus lays the groundwork for the next generation of RL algorithms, which will allow scientific agents to know when it suffices to estimate a plan from current data and when to accept the potential cost of running an experiment to gather new data. / text
76

THE INFLUENCE OF TRAINING LEVEL AND PROBABILITY MAGNITUDE ON THE EXTINCTION OF PROBABILITY MATCHING RESPONSES

Hergenhahn, B. R., 1934- January 1966 (has links)
No description available.
77

RESISTANCE TO EXTINCTION AS A FUNCTION OF SCHEDULES OF DIRECT OR VICARIOUS REINFORCEMENT AND AMOUNT OF ACQUISITION TRAINING

Borden, Betty Louise, 1948- January 1973 (has links)
No description available.
78

SOME DETERMINANTS OF RESISTANCE TO EXTINCTION IN VICARIOUS REINFORCEMENT

Feist, Joseph R., 1947- January 1974 (has links)
No description available.
79

The effect of contingent reinforcement on the response to the familiar stimulus during the familiarization phase using a modified SFE procedure

Petersen, James C., 1944- January 1971 (has links)
No description available.
80

Imitation of model's self-denial

Hanson, Paul Gilbert, 1947- January 1971 (has links)
No description available.

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