231 search results - page 13 / 47 » A Parallel State Assignment Algorithm for Finite State Machi... |
ICCAD
1998
IEEE
13 years 11 months ago
1998
IEEE
This paper presents efficient reencoding and resynthesis algorithms for cycle-time minimization of multilevel implementations of synchronous finite state machines (FSMs) under a fi...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
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 ...
ACRI
2006
Springer
14 years 1 months ago
2006
Springer
The goal of our investigation is to find automatically the absolutely best rule for a moving creature in a cellular field. The task of the creature is to visit all empty cells wi...