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AAAI
2012
11 years 11 months ago
Generalized Sampling and Variance in Counterfactual Regret Minimization
In large extensive form games with imperfect information, Counterfactual Regret Minimization (CFR) is a popular, iterative algorithm for computing approximate Nash equilibria. Whi...
Richard G. Gibson, Marc Lanctot, Neil Burch, Duane...
AAAI
1993
13 years 10 months ago
On the Adequateness of the Connection Method
Roughly speaking, adequatness is the property of a theorem proving method to solve simpler problems faster than more difficult ones. Automated inferencing methods are often not ad...
Antje Beringer, Steffen Hölldobler
ATAL
2007
Springer
14 years 2 months ago
Commitment-driven distributed joint policy search
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
Stefan J. Witwicki, Edmund H. Durfee
ATAL
2008
Springer
13 years 10 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp
ATAL
2010
Springer
13 years 9 months ago
Decision making with dynamically arriving information
Decision making is the ability to decide on the best alternative among a set of candidates based on their value. In many real-world domains the value depends on events that occur ...
Meir Kalech, Avi Pfeffer