1916 search results - page 181 / 384 » Reconfiguring a state machine |
111
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ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
140
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ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
112
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COLT
2007
Springer
15 years 9 months ago
2007
Springer
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
109
Voted
ICCAD
1997
IEEE
15 years 7 months ago
1997
IEEE
We present a new output encoding problem as follows: Given a specification table, such as a truth table or a finite state machine state table, where some of the outputs are specif...
115
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COLT
1995
Springer
15 years 6 months ago
1995
Springer
We present algorithms for exactly learning unknown environments that can be described by deterministic nite automata. The learner performs a walk on the target automaton, where at...