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» Artificial Intelligence for Adaptive Computer Games
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FLAIRS
2009
14 years 7 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
ATAL
2009
Springer
15 years 4 months ago
State-coupled replicator dynamics
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
160
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ACHI
2010
IEEE
15 years 4 months ago
Music Box: An Algorithm for Producing Visual Music
— This research proposes a method for producing music via visual composition in a computer-game like environment. This is accomplished through the development of artificial intel...
Lindsay Grace
ATAL
2006
Springer
15 years 1 months ago
Learning to identify winning coalitions in the PAC model
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
Ariel D. Procaccia, Jeffrey S. Rosenschein
ATAL
2008
Springer
14 years 11 months ago
Using multi-agent potential fields in real-time strategy games
Bots for Real Time Strategy (RTS) games provide a rich challenge to implement. A bot controls a number of units that may have to navigate in a partially unknown environment, while...
Johan Hagelbäck, Stefan J. Johansson