Reinforcement Learning and Distributed Local Model Synthesis
Reinforcement learning is a general and powerful way to formulate complex learning problems and acquire good system behaviour. The goal of a reinforcement learning system is to maximize a long term sum of instantaneous rewards provided by a teacher. In its extremum form, reinforcement learning only...
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| Format: | Doctoral Thesis |
| Language: | English |
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Linköpings universitet, Bildbehandling
1997
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54348 http://nbn-resolving.de/urn:isbn:91-7871-892-9 |