280 search results - page 40 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
108
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ICTAI
2009
IEEE
14 years 9 months ago
2009
IEEE
We introduce TiMDPpoly, an algorithm designed to solve planning problems with durative actions, under probabilistic uncertainty, in a non-stationary, continuous-time context. Miss...
101
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NIPS
2001
15 years 1 months ago
2001
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
113
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ICML
1998
IEEE
16 years 18 days ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
112
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AAAI
2006
15 years 1 months ago
2006
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
115
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AAAI
2012
13 years 2 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...