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Learning to Achieve Goals
- IN PROC. OF IJCAI-93
, 1993
"... Temporal difference methods solve the temporal credit assignment problem for reinforcement learning. An important subproblem of general reinforcement learning is learning to achieve dynamic goals. Although existing temporal difference methods, such as Q learning, can be applied to this problem, they ..."
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Cited by 31 (1 self)
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, they do not take advantage of its special structure. This paper presents the DG-learning algorithm, which learns efficiently to achieve dynamically changing goals and exhibits good knowledge transfer between goals. In addition, this paper shows how traditional relaxation techniques can be applied
Practical reasoning for very expressive description logics
- Journal of the Interest Group in Pure and Applied Logics 8
, 2000
"... Description Logics (DLs) are a family of knowledge representation formalisms mainly characterised by constructors to build complex concepts and roles from atomic ones. Expressive role constructors are important in many applications, but can be computationally problematical. We present an algorithm t ..."
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Cited by 185 (22 self)
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of optimisation techniques that are crucial in obtaining implementations of the decision procedures, which, despite the hight worst-case complexity of the problem, exhibit good performance with real-life problems. 1
Peer Monitoring and Credit Markets
- Review of Social Economy
, 1990
"... A major problem for institutional lenders is ensuring that borrowers exercise prudence in the use of the funds so that the likelihood of repayment is enhanced. One partial solution is peer monitoring: having neighbors who are in a good position to monitor the borrower be required to pay a penalty if ..."
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Cited by 180 (0 self)
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A major problem for institutional lenders is ensuring that borrowers exercise prudence in the use of the funds so that the likelihood of repayment is enhanced. One partial solution is peer monitoring: having neighbors who are in a good position to monitor the borrower be required to pay a penalty
Behavioral theories and the neurophysiology of reward,
- Annu. Rev. Psychol.
, 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
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Cited by 187 (0 self)
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toward the current Annu. Rev. Psychol. 2006.57:87-115. Downloaded from arjournals.annualreviews.org by HARVARD UNIVERSITY on 04/18/07. For personal use only. THEORY AND NEUROPHYSIOLOGY OF REWARD 89 optimum. This review describes some of the knowledge on brain mechanisms related to rewarding outcomes
Constructing informative priors using transfer learning
- In Proceedings of the 23rd International Conference on Machine Learning
, 2006
"... Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative prior over the parameters, one that encodes useful domain knowledge. Focusing on logistic regression, we present an algorit ..."
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Cited by 113 (0 self)
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Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative prior over the parameters, one that encodes useful domain knowledge. Focusing on logistic regression, we present
Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System
- IEEE Transactions on Knowledge and Data Engineering
, 1993
"... The knowledge acquisition bottleneck impeding the development of expert systems is being alleviated by the development of computer-based knowledge acquisition tools. These work directly with experts to elicit knowledge, and structure it appropriately to operate as a decision support tool within an e ..."
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Cited by 48 (17 self)
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an expert system. However, the elicitation of expert knowledge and its effective transfer to a useful knowledge-based system is complex and involves a diversity of activities. This paper illustrates the complete development of a decision support system using knowledge acquisition tools. The example
Meeting and Exhibit that highlighted
"... ITE members with an interest in planning, designing and operating facilities for the movement of goods, including an emphasis on intermodal transfers. The ..."
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ITE members with an interest in planning, designing and operating facilities for the movement of goods, including an emphasis on intermodal transfers. The
Meeting and Exhibit that highlighted
"... ITE members with an interest in planning, designing and operating facilities for the movement of goods, including an emphasis on intermodal transfers. The ..."
Abstract
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ITE members with an interest in planning, designing and operating facilities for the movement of goods, including an emphasis on intermodal transfers. The
Meeting and Exhibit that highlighted
"... ITE members with an interest in planning, designing and operating facilities for the movement of goods, including an emphasis on intermodal transfers. The ..."
Abstract
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ITE members with an interest in planning, designing and operating facilities for the movement of goods, including an emphasis on intermodal transfers. The
Problem-based learning meets case-based reasoning
- J. LEARNING SCI
"... The modern education community agrees that deep and effective learning is best promoted by situating learning in authentic activity. Many in the education community have put in place constructivist classroom practices that put students into situations where they must make hypotheses, collect data ..."
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Cited by 133 (12 self)
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provides of reasoning activities, especially of knowledge access, access to old experiences (cases), and use of old experiences in reasoning, suggest guidelines about materials that should be made available as resources, the kinds of reflection that will promote transfer, qualities of good problems
Results 1 - 10
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1,409