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  • Reinforcement Learning and Optimal Control

    Dimitri Bertsekas

    评分 暂无

    This book considers large and challenging multistage decision problems, which can be solved in principle by dynamic programming, but their exact solution is computationally intractable. It can be u

  • Introduction to Probability (2/e)

    Dimitri P. Bertsekas

    评分 9.4分

    An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a s

  • Nonlinear Programming

    Dimitri P. Bertsekas

    评分 9.0分

  • Introduction to Linear Optimization

    Dimitris Bertsimas

    评分 9.1分

    This book provides a unified, insightful, and modern treatment of linear optimization, that is, linear programming, network flow problems, and discrete optimization. It includes classical topics as

  • Neuro-Dynamic Programming

    Dimitri P. Bertsekas

    评分 暂无

    This is the first textbook that fully explains the neuro-dynamic programming/reinforcement learning methodology, which is a recent breakthrough in the practical application of neural networks and d

  • Dynamic Programming and Optimal Control (2 Vol Set)

    Dimitri P. Bertsekas

    评分 9.9分