Sciweavers

ECML
2006
Springer
13 years 9 months ago
Efficient Non-linear Control Through Neuroevolution
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
Faustino J. Gomez, Jürgen Schmidhuber, Risto ...
KR
1989
Springer
13 years 9 months ago
Situated Control Rules
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
Mark Drummond
FSTTCS
1998
Springer
13 years 9 months ago
Partial Order Reductions for Bisimulation Checking
Partial order methods have been introduced to avoid the state explosion problem in veri cation resulting from the representation of multiple interleavings of concurrent transitions...
Michaela Huhn, Peter Niebert, Heike Wehrheim
ICTAI
2005
IEEE
13 years 11 months ago
Planning with POMDPs Using a Compact, Logic-Based Representation
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
Chenggang Wang, James G. Schmolze
SFM
2007
Springer
13 years 11 months ago
Tackling Large State Spaces in Performance Modelling
Stochastic performance models provide a powerful way of capturing and analysing the behaviour of complex concurrent systems. Traditionally, performance measures for these models ar...
William J. Knottenbelt, Jeremy T. Bradley
TACAS
2009
Springer
89views Algorithms» more  TACAS 2009»
14 years 5 days ago
Hierarchical Adaptive State Space Caching Based on Level Sampling
In the past, several attempts have been made to deal with the state space explosion problem by equipping a depth-first search (DFS) algorithm with a state cache, or by avoiding co...
Radu Mateescu, Anton Wijs