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179
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
181
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
189
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
Distributed Constraint Optimization (DCOP) provides a rich framework for modeling multi-agent coordination problems. Existing problem domains for DCOP focus on small (<100 vari...
161
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
In large, collaborative, heterogeneous teams, team members often collect information that is useful to other members of the team. Recognizing the utility of such information and d...
175
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AIED
2007
Springer
16 years 1 months ago
2007
Springer
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...