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137
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NIPS
1996
15 years 4 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
109
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OSDI
1994
ACM
15 years 4 months ago
Performance Issues in Parallelized Network Protocols
Parallel processing has been proposed as a means of improving network protocol throughput. Several different strategies have been taken towards parallelizing protocols. A relative...
Erich M. Nahum, David J. Yates, James F. Kurose, D...
123
Voted
AAAI
1990
15 years 3 months ago
AI and Software Engineering: Will the Twain Ever Meet?
This session will explore the reasons for the lack of impact in four important areas in which AI has been expected to significantly affect real world Software Engineering. The pan...
Robert Balzer
134
Voted
APCCM
2009
15 years 3 months ago
Extracting Conceptual Graphs from Japanese Documents for Software Requirements Modeling
A requirements analysis step plays a significant role on the development of information systems, and in this step we various kinds of abstract models of the systems (called requir...
Ryo Hasegawa, Motohiro Kitamura, Haruhiko Kaiya, M...
127
Voted
ATAL
2010
Springer
15 years 3 months ago
A quantified distributed constraint optimization problem
In this paper, we propose a Quantified Distributed Constraint Optimization problem (QDCOP) that extends the framework of Distributed Constraint Optimization problems (DCOPs). DCOP...
Toshihiro Matsui, Hiroshi Matsuo, Marius-Calin Sil...
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