Topic Brief: Manifold suboptimization method and its relationship to simplex method for linear Markov decision problems, memoryless and stationary policies, Bellman operator, value iteration algorithm.

Ece 5759 Nonlinear Optimization Lec 10 -

Manifold suboptimization method and its relationship to simplex method for linear Markov decision problems, memoryless and stationary policies, Bellman operator, value iteration algorithm. Application of Banach Contraction mapping principle to convergence of Lagrangian method.

Important details found

  • Manifold suboptimization method and its relationship to simplex method for linear
  • Markov decision problems, memoryless and stationary policies, Bellman operator, value iteration algorithm.
  • Application of Banach Contraction mapping principle to convergence of Lagrangian method.
  • Projections on some simple sets, Frank Wolfe method, Gradient projection method.
  • Banach contraction mapping theorem and its application to proving convergence of

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