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Kernelized Value Function Approximation for Reinforcement Learning

Kernelized Value Function Approximation for Reinforcement Learning. Gavin Taylor and Ronald Parr Duke University. Kernel: k(s,s’) Training Data: (s,r,s’),(s,r,s’) (s,r,s’)…. Solve for value directly using KLSTD or GPTD. Solve for model as in GPRL. Kernelized Value Function. Kernelized

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539 views • 29 slides

Kernelized Value Function Approximation for Reinforcement Learning

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313 views • 29 slides

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