595 search results - page 29 / 119 » Predictive State Representations with State Space Partitioni... |
AAAI
1997
14 years 11 months ago
1997
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
85
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ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
NIPS
2008
14 years 12 months ago
2008
We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
102
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ICFEM
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. The success of industrial-scale model checkers such as Uppaal [3] or NuSMV [12] relies on the efficiency of their respective symbolic state space representations. While d...
ISCA
1997
IEEE
15 years 2 months ago
1997
IEEE
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...