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• W2179284380 abstract "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. Umfang: IX, 205 S. Preis: €36.00 | £33.00 | $63.00" @default.
• W2179284380 created "2016-06-24" @default.
• W2179284380 creator A5001763022 @default.
• W2179284380 date "2010-11-22" @default.
• W2179284380 modified "2023-09-27" @default.
• W2179284380 title "Efficient Reinforcement Learning Using Gaussian Processes" @default.
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