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MST
2011
237views Hardware» more  MST 2011»
13 years 2 months ago
On the Complexity of Computing Winning Strategies for Finite Poset Games
This paper is concerned with the complexity of computing winning strategies for poset games. While it is reasonably clear that such strategies can be computed in PSPACE, we give a ...
Michael Soltys, Craig Wilson
AAAI
2006
13 years 9 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
14 years 12 days ago
Overcoming limitations of game-theoretic distributed control
—Recently, game theory has been proposed as a tool for cooperative control. Specifically, the interactions of a multiagent distributed system are modeled as a non-cooperative ga...
Jason R. Marden, Adam Wierman
ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
14 years 2 months ago
Anytime Self-play Learning to Satisfy Functional Optimality Criteria
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Andriy Burkov, Brahim Chaib-draa
ILC
2007
Springer
14 years 1 months ago
A Playful Glance at Hierarchical Questions for Two-Way Alternating Automata
Two-way alternating automata were introduced by Vardi in order to study the satisfiability problem for the modal µ-calculus extended with backwards modalities. In this paper, we ...
Jacques Duparc, Alessandro Facchini