2632 search results - page 169 / 527 » Predictive Representations of State |
155
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AIIA
2007
Springer
15 years 10 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
124
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VLSID
1999
IEEE
15 years 8 months ago
1999
IEEE
The design and synthesis of asynchronous circuits is gaining importance in both the industrial and academic worlds. Timed circuits are a class of asynchronous circuits that incorp...
149
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AIPS
1996
15 years 5 months ago
1996
Mostexisting decision-theoretic planners represent uncertainty about the state of the world with a precisely specified probability distribution over world states. This representat...
162
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ICML
1999
IEEE
16 years 5 months ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
107
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SPIN
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. The most expensive operation in explicit state model checking is the hash computation required to store the explored states in a hash table. One way to reduce this comput...