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» Reconfiguring a state machine
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ICML
2010
IEEE
13 years 5 months ago
Constructing States for Reinforcement Learning
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
M. M. Hassan Mahmud
ASM
2005
ASM
14 years 1 months ago
Applying Formal Semantics of an Object-oriented Language to Program Invariant Checking
We consider a specific kind of Abstract State Machines. It is shown how the machines can be used to provide a low-level formal semantics for a tiny object-oriented language, inclu...
Andrey Novikov, Rostislav Yavorskiy
OOPSLA
2009
Springer
14 years 2 months ago
Typestate-oriented programming
Objects model the world, and state is fundamental to a faithful modeling. Engineers use state machines to understand and reason about state transitions, but programming languages ...
Jonathan Aldrich, Joshua Sunshine, Darpan Saini, Z...
TAL
2004
Springer
14 years 1 months ago
Unsupervised Training of a Finite-State Sliding-Window Part-of-Speech Tagger
A simple, robust sliding-window part-of-speech tagger is presented and a method is given to estimate its parameters from an untagged corpus. Its performance is compared to a standa...
Enrique Sánchez Villamil, Mikel L. Forcada,...
IPPS
2007
IEEE
14 years 2 months ago
On the Power of the Multiple Associative Computing (MASC) Model Related to That of Reconfigurable Bus-Based Models
: The MASC model is a multi-SIMD model that uses control parallelism to coordinate the interaction of data parallel threads. It supports a generalized associative style of parallel...
Mingxian Jin, Johnnie W. Baker