4817 search results - page 567 / 964 » Learning Models of Intelligent Agents |
207
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ATAL
2009
Springer
2009
Springer
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
16 years 1 months ago
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
186
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ATAL
2007
Springer
16 years 28 days ago
2007
Springer
A negotiation chain is formed when multiple related negotiations are spread over multiple agents. In order to appropriately order and structure the negotiations occurring in the c...
194
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FLAIRS
2004
15 years 8 months ago
2004
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
176
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FLAIRS
2006
15 years 8 months ago
2006
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
134
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AAAI
2008
15 years 9 months ago
2008
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...