Kernel-Based Approximate Dynamic Programming Using Bellman Residual Elimination

Many sequential decision-making problems related to multi-agent robotic systems can be naturally posed as Markov Decision Processes (MDPs). An important advantage of the MDP framework is the ability to utilize stochastic system models, thereby allowing the system to make sound decisions even if ther...

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Bibliographische Detailangaben

1. Verfasser:	Bethke, Brett M
Format:	Report
Sprache:	eng
Schlagworte:	ALGORITHMS BRE(BELLMAN RESIDUAL ELIMINATION) DECISION MAKING DYNAMIC PROGRAMMING ELIMINATION KERNEL FUNCTIONS MARKOV PROCESSES MDPS(MARKOV DECISION PROCESSES) Statistics and Probability THESES
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