4345 search results - page 362 / 869 » Relational Reinforcement Learning |
194
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ILP
2007
Springer
16 years 11 days ago
2007
Springer
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
172
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AGENTS
2000
Springer
15 years 10 months ago
2000
Springer
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
153
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ATAL
2008
Springer
15 years 8 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
175
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
181
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PEPM
2011
ACM
14 years 9 months ago
2011
ACM
Writing deterministic programs is often difficult for problems whose optimal solutions depend on unpredictable properties of the programs’ inputs. Difficulty is also encounter...