192 search results - page 21 / 39 » Multi-agent Relational Reinforcement Learning |
JDCTA
2010
13 years 2 months ago
2010
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
AAMAS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
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CEEMAS
2003
Springer
14 years 21 days ago
2003
Springer
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
COLT
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The ļ¬rst is based on relative Q-learning and the ...