402 search results - page 62 / 81 » Maximal Introspection of Agents |
89
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
117
Voted
ICALP
2010
Springer
15 years 2 months ago
2010
Springer
We study the combinatorial auction (CA) problem, in which m objects are sold to rational agents and the goal is to maximize social welfare. Of particular interest is the special ca...
118
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AAAI
2010
15 years 2 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
AAAI
2004
15 years 1 months ago
2004
We describe an innovative solution to the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne observatory. The probl...
105
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AAAI
2006
15 years 1 months ago
2006
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...