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NIPS
1998
13 years 10 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
WSC
1997
13 years 10 months ago
Simulation of Bulk Flow and High Speed Operations
Simulation modeling can be highly effective for solving problems found in the food, beverage, consumer products, and pharmaceutical industries. The flow of material or fluid in th...
Andrew J. Siprelle, Richard A. Phelps
NAACL
1994
13 years 10 months ago
Session 10: Government Panel
The Workshop included an extended group of presentations by selected US government agencies and an invited guest from the European Community. These presentations, amplified in the...
Oscar N. Garcia
NIPS
1996
13 years 10 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
USENIX
1994
13 years 10 months ago
Splicing UNIX into a Genome Mapping Laboratory
The Whitehead Institute/MIT Center for Genome Research is responsible for a number of large genome mapping efforts, the scale of which create problems of data and workflow managem...
Lincoln Stein, Andre Marquis, Robert Dredge, Mary ...
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