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ATAL
2008
Springer
15 years 8 months ago
Analysis of an evolutionary reinforcement learning method in a multiagent domain
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
ATAL
2008
Springer
15 years 8 months ago
Solving two-person zero-sum repeated games of incomplete information
In repeated games with incomplete information, rational agents must carefully weigh the tradeoffs of advantageously exploiting their information to achieve a short-term gain versu...
Andrew Gilpin, Tuomas Sandholm
ATAL
2008
Springer
15 years 8 months ago
A tractable and expressive class of marginal contribution nets and its applications
Coalitional games raise a number of important questions from the point of view of computer science, key among them being how to represent such games compactly, and how to efficien...
Edith Elkind, Leslie Ann Goldberg, Paul W. Goldber...
AAAI
2010
15 years 7 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
AAAI
2006
15 years 7 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer
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