771 search results - page 81 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
146
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ICMLA
2009
15 years 1 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
130
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NIPS
2004
15 years 5 months ago
2004
Online mechanism design (OMD) addresses the problem of sequential decision making in a stochastic environment with multiple self-interested agents. The goal in OMD is to make valu...
144
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ICAI
2009
15 years 1 months ago
2009
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
120
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ICIS
2000
15 years 5 months ago
2000
A considerable amount of research has already been conducted in the IT/IS evaluation arena, yet rewards remain elusive. This has been variously explained and in this paper we aim ...
129
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AIPS
2003
15 years 5 months ago
2003
Recommender systems — systems that suggest to users in e-commerce sites items that might interest them — adopt a static view of the recommendation process and treat it as a pr...