948 search results - page 152 / 190 » Modelling Agents as Observable Sources |
129
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
102
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ECAI
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. In the aftermath of a large-scale disaster, agents’ decisions derive from self-interested (e.g. survival), common-good (e.g. victims’ rescue) and teamwork (e.g. fire...
114
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CIA
2007
Springer
15 years 6 months ago
2007
Springer
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
97
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ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
91
Voted
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
This paper presents separation of specular and diffuse reflection components from an image pair. The proposed approach is based on the dichromatic reflectance model and Markov ran...