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AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
FCA
2005
Springer
188views Formal Methods» more  FCA 2005»
14 years 1 months ago
Formal Concept Analysis-Based Class Hierarchy Design in Object-Oriented Software Development
The class hierarchy is an important aspect of object-oriented software development. Design and maintenance of such a hierarchy is a difficult task that is often accomplished witho...
Robert Godin, Petko Valtchev
HICSS
1994
IEEE
141views Biometrics» more  HICSS 1994»
13 years 11 months ago
Empirical CATeam Research in Meetings
Meeting research and especially research on Computer Supported Meetings of natural teams is not available in abundance. What is reported of meetings often uses a rather limited th...
Helmut Krcmar, Henrik Lewe, Gerhard Schwabe
AAAI
1998
13 years 8 months ago
An Expert System for Alarm System Planning
This paper discusses the design and implementation of ESSPL, an expert system which generates security plans for alarm systems (Figure 1). Security planning is the task of determi...
Akira Tsurushima, Kenji Urushima, Daigo Sakata, Hi...
AAAI
1994
13 years 8 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex