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» Neural Dynamics with Stochasticity
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86
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WSC
2004
15 years 2 months ago
Experimental Performance Evaluation of Histogram Approximation for Simulation Output Analysis
We summarize the results of an experimental performance evaluation of using an empirical histogram to approximate the steady-state distribution of the underlying stochastic proces...
E. Jack Chen, W. David Kelton
79
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FLAIRS
1998
15 years 2 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
113
Voted
AAAI
1994
15 years 2 months ago
Cost-Effective Sensing during Plan Execution
Between sensing the world after every action (as in a reactive plan) and not sensing at all (as in an openloop plan), lies a continuum of strategies for sensing during plan execut...
Eric A. Hansen
91
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AAAI
1996
15 years 2 months ago
Learning to Take Actions
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Roni Khardon
87
Voted
AIPS
1994
15 years 2 months ago
Solving Time-critical Decision-making Problems with Predictable Computational Demands
In this work we present an approach to solving time-critical decision-making problems by taking advantage of domain structure to expand the amountof time available for processing ...
Thomas Dean, Lloyd Greenwald