21 search results - page 3 / 5 » Abstract Games for Infinite State Processes |
AIIDE
2006
15 years 1 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
100
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AAAI
2010
15 years 1 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
102
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AIIDE
2008
15 years 2 months ago
2008
Artificial intelligence in games is typically used for creating player's opponents. Manual edition of intelligent behaviors for Non-Player Characters (NPCs) of games is a cum...
ESA
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. In this paper we consider Nash Equilibria for the selfish routing model proposed in [12], where a set of n users with tasks of different size try to access m parallel l...
107
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RTCSA
1999
IEEE
15 years 4 months ago
1999
IEEE
ASTRAL is a high-level formal specification language for real-time (infinite state) systems. It is provided with structuring mechanisms that allow one to build modularized specifi...