21 search results - page 3 / 5 » Abstract Games for Infinite State Processes |
AIIDE
2006
14 years 11 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...
88
Voted
AAAI
2010
14 years 11 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...
AIIDE
2008
14 years 12 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...
71
Voted
ESA
2007
Springer
15 years 3 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...
RTCSA
1999
IEEE
15 years 1 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...