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ALGORITHMICA
2010
152views more  ALGORITHMICA 2010»
13 years 10 months ago
Gaming Prediction Markets: Equilibrium Strategies with a Market Maker
We study the equilibrium behavior of informed traders interacting with market scoring rule (MSR) market makers. One attractive feature of MSR is that it is myopically incentive com...
Yiling Chen, Stanko Dimitrov, Rahul Sami, Daniel M...
TACAS
2005
Springer
129views Algorithms» more  TACAS 2005»
14 years 3 months ago
A New Algorithm for Strategy Synthesis in LTL Games
Abstract. The automatic synthesis of programs from their specifications has been a dream of many researchers for decades. If we restrict to open finite-state reactive systems, th...
Aidan Harding, Mark Ryan, Pierre-Yves Schobbens
TACAS
2009
Springer
134views Algorithms» more  TACAS 2009»
14 years 4 months ago
Computing Weakest Strategies for Safety Games of Imperfect Information
CEDAR (Counter Example Driven Antichain Refinement) is a new symbolic algorithm for computing weakest strategies for safety games of imperfect information. The algorithm computes ...
Wouter Kuijper, Jaco van de Pol
FCT
2009
Springer
14 years 1 months ago
Parametrized Regular Infinite Games and Higher-Order Pushdown Strategies
Given a set P of natural numbers, we consider infinite games where the winning condition is a regular -language parametrized by P. In this context, an -word, representing a play, h...
Paul Hänsch, Michaela Slaats, Wolfgang Thomas
IJCAI
2007
13 years 11 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...