1142 search results - page 171 / 229 » Set Variables and Local Search |
AAAI
2008
15 years 3 months ago
2008
We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...
114
Voted
IJCAI
2001
15 years 2 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
110
Voted
IJAR
2007
15 years 16 days ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
107
Voted
AAMAS
2004
Springer
15 years 15 days ago
2004
Springer
We present a multi-dimensional, multi-step negotiation mechanism for task allocation among cooperative agents based on distributed search. This mechanism uses marginal utility gai...
115
Voted
ICARIS
2010
Springer
14 years 10 months ago
2010
Springer
In this research work a large set of the classical numerical functions were taken into account in order to understand both the search capability and the ability to escape from a lo...