709 search results - page 80 / 142 » Real-World Limits to Algorithmic Intelligence |
155
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ATAL
2011
Springer
14 years 4 months ago
2011
Springer
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
128
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CEC
2007
IEEE
15 years 10 months ago
2007
IEEE
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
132
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ATAL
2006
Springer
15 years 8 months ago
2006
Springer
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
146
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AIPS
2009
15 years 5 months ago
2009
Solving multiagent planning problems modeled as DECPOMDPs is an important challenge. These models are often solved by using dynamic programming, but the high resource usage of cur...
122
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ATAL
2010
Springer
15 years 5 months ago
2010
Springer
In typical multiagent teamwork settings, the teammates are either programmed together, or are otherwise provided with standard communication languages and coordination protocols. ...