Efficient Reinforcement Learning using Gaussian Processes
This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fully Bayesian approach for efficient RL in continuous-valued state and action spaces when no expert knowledge is available. PILCO takes model...
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| Format: | Book Chapter |
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KIT Scientific Publishing
2010
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| Online Access: | Get Fullteks DOAB: description of the publication |
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Get FullteksDOAB: description of the publication
3rd Floor Main Library
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A1234.567 |
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| Copy 1 | Available |