Efficient Reinforcement Learning Using Gaussian Processes

Released on by Marc Peter Deisenroth
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  • Efficient Reinforcement Learning Using Gaussian Processes Book Detail

  • Author : Marc Peter Deisenroth
  • Release Date : 2010
  • Publisher : KIT Scientific Publishing
  • Genre : Electronic computers. Computer science
  • Pages : 226
  • ISBN 13 : 3866445695
  • File Size : 21,21 MB
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Efficient Reinforcement Learning Using Gaussian Processes by Marc Peter Deisenroth PDF Summary

Book Description: 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 uncertainties consistently into account during long-term planning to reduce model bias. Second, we propose principled algorithms for robust filtering and smoothing in GP dynamic systems.

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