192 search results - page 21 / 39 » Multi-agent Relational Reinforcement Learning |
184
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JDCTA
2010
15 years 1 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 ...
178
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ATAL
2008
Springer
15 years 8 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, ...
198
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AAMAS
2007
Springer
16 years 18 days 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...
195
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CEEMAS
2003
Springer
15 years 11 months 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¬...
159
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COLT
2004
Springer
15 years 11 months 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 ...