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RIVF
2003
13 years 10 months ago
Complex Systems Modeling
—This paper addresses the simulation of the dynamics of complex systems by using hierarchical graph and multi-agent system. A complex system is composed of numerous interacting p...
Christophe Lecerf, Thi Minh Luan Nguyen
AAAI
2008
13 years 11 months ago
The Parameterized Complexity of Global Constraints
We argue that parameterized complexity is a useful tool with which to study global constraints. In particular, we show that many global constraints which are intractable to propag...
Christian Bessiere, Emmanuel Hebrard, Brahim Hnich...
AAAI
2006
13 years 10 months ago
The Complexity of Bribery in Elections
We study the complexity of influencing elections through bribery: How computationally complex is it for an external actor to determine whether by a certain amount of bribing voter...
Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hem...
AAAI
1993
13 years 10 months ago
Complexity Analysis of Real-Time Reinforcement Learning
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Sven Koenig, Reid G. Simmons
ATAL
2007
Springer
14 years 2 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa