62 search results - page 7 / 13 » Learning and Exploiting Relative Weaknesses of Opponent Agen... |
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
In contrast to classical game theoretic analysis of simultaneous and sequential play in bimatrix games, Steven Brams has proposed an alternative framework called the Theory of Mov...
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PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
AAAI
2007
14 years 11 months ago
2007
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
CEC
2010
IEEE
14 years 10 months ago
2010
IEEE
Problems in which some entities interact with each other are common in computational intelligence. This scenario, typical for co-evolving artificial-life agents, learning strategie...