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ATVA
2009
Springer
137views Hardware» more  ATVA 2009»
13 years 11 months ago
State Space Reduction of Linear Processes Using Control Flow Reconstruction
Abstract. We present a new method for fighting the state space explosion of process algebraic specifications, by performing static analysis on an intermediate format: linear proc...
Jaco van de Pol, Mark Timmer
IROS
2009
IEEE
125views Robotics» more  IROS 2009»
13 years 11 months ago
A tale of two planners: Modular robotic planning with LDP
Abstract— LDP (Locally Distributed Predicates) is a distributed, high-level language for programming modular reconfigurable robot systems (MRRs). In this paper we present the im...
Michael DeRosa, Seth Copen Goldstein, Peter Lee, P...
GLVLSI
2009
IEEE
122views VLSI» more  GLVLSI 2009»
13 years 11 months ago
Enhancing SAT-based sequential depth computation by pruning search space
The sequential depth determines the completeness of bounded model checking in design verification. Recently, a SATbased method is proposed to compute the sequential depth of a de...
Yung-Chih Chen, Chun-Yao Wang
ACSD
2009
IEEE
118views Hardware» more  ACSD 2009»
13 years 11 months ago
Verifying Deadlock- and Livelock Freedom in an SOA Scenario
In a service-oriented architecture (SOA), a service broker assigns a previously published service (stored in a service registry) to a service requester. It is desirable for the co...
Karsten Wolf, Christian Stahl, Janine Ott, Robert ...
ICML
2003
IEEE
14 years 5 months ago
Exploration in Metric State Spaces
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
Sham Kakade, Michael J. Kearns, John Langford
ICML
2005
IEEE
14 years 5 months ago
Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees
MDPs are an attractive formalization for planning, but realistic problems often have intractably large state spaces. When we only need a partial policy to get from a fixed start s...
H. Brendan McMahan, Maxim Likhachev, Geoffrey J. G...