140 search results - page 16 / 28 » Structural Abstraction Experiments in Reinforcement Learning |
135
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AIPS
2006
15 years 7 months ago
2006
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...
189
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EGICE
2006
15 years 10 months ago
2006
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
197
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JMLR
2010
15 years 1 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
173
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
177
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ATAL
2010
Springer
15 years 7 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...