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ICML
1994
IEEE
14 years 1 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
CCE
2006
13 years 10 months ago
A multiscale systems approach to microelectronic processes
This paper describes applications of molecular simulation to microelectronics processes and the subsequent development of techniques for multiscale simulation and multiscale syste...
Richard D. Braatz, Richard C. Alkire, Edmund G. Se...
AEI
2005
102views more  AEI 2005»
13 years 10 months ago
Manufacturing planning and predictive process model integration using software agents
Intelligent agents provide a means to integrate various manufacturing software applications. The agents are typically executed in a computer-based collaborative environment, refer...
Shaw C. Feng, Keith A. Stouffer, Kevin K. Jurrens
CCE
2004
13 years 9 months ago
A strategy for MINLP synthesis of flexible and operable processes
This paper presents a sequential two-stage strategy for the stochastic synthesis of chemical processes in which flexibility and ability to adjust manipulated variables are taken i...
Zorka Novak Pintaric, Zdravko Kravanja
TC
2002
13 years 9 months ago
On Transaction Processing with Partial Validation and Timestamp Ordering in Mobile Broadcast Environments
Conventional concurrency control protocols are inapplicable in mobile broadcast environments due to a number of constraints of wireless communications. Previous studies are focuse...
Victor C. S. Lee, Kwok-Wa Lam, Sang Hyuk Son, Eddi...