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Policy Iteration

Least-Squares Policy Iteration

Least-Squares Policy Iteration

... approximate policy iter- ...fixed policy which cannot be used for action selection and control without a model of the underlying ...least-squares policy itera- tion (LSPI), learns the state-action ...

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Regularized Policy Iteration with Nonparametric Function Spaces

Regularized Policy Iteration with Nonparametric Function Spaces

... approximate policy iteration (API) approach to find a close to optimal policy in a Markov Decision Process (MDP), either in a reinforcement learning (RL) or in a planning ...the policy ...

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Approximate Policy Iteration (API) with neural networks for the generalized single node energy storage problem

Approximate Policy Iteration (API) with neural networks for the generalized single node energy storage problem

... Approximate Policy Iteration (API) method and we propose a novel API algorithm which employs neural networks to approximately solve the SNES problem in this ...

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A policy iteration algorithm for nonzero-sum stochastic impulse games

A policy iteration algorithm for nonzero-sum stochastic impulse games

... However, this framework is not general enough to tackle the NZSSIGs described in Section 1.1 and the full system of QVIs (7). There are, to the best of our knowledge, no available numerical methods to approach the latter ...

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Performance Bounds for λ Policy Iteration and Application to the Game of Tetris

Performance Bounds for λ Policy Iteration and Application to the Game of Tetris

... few policy iterations, but the performance gradually drops ...λ policy iteration, that removes the special treatments for the terminal states done through Equations 30 and ...

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Approximate Modified Policy Iteration and its Application to the Game of Tetris

Approximate Modified Policy Iteration and its Application to the Game of Tetris

... Modified policy iteration (MPI) is a dynamic programming (DP) algorithm that contains the two celebrated policy and value iteration ...fitted-value iteration, fitted-Q iteration, ...

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Finite-Sample Analysis of Least-Squares Policy Iteration

Finite-Sample Analysis of Least-Squares Policy Iteration

... the policy improvement ...in policy evaluation, an additional term of order γ K is ...approximate policy iteration and have interesting insights on the concentrability ...the policy ...

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Analysis of Classification-based Policy Iteration Algorithms

Analysis of Classification-based Policy Iteration Algorithms

... approximate policy iteration ( API ) called direct policy iteration ( DPI ) and provided its finite-sample performance ...step policy update, 2) considering any policy space ...

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Computing probabilistic bisimilarity distances for probabilistic automata

Computing probabilistic bisimilarity distances for probabilistic automata

... simple policy iteration algorithm has exponential worst-case time ...value iteration algorithm by Fu [17] which has theoretical polynomial-time complexity for λ < ...

17

The Complexity of the Simplex Method

The Complexity of the Simplex Method

... The simplex method is a well-studied and widely-used piv- oting method for solving linear programs. When Dantzig originally formulated the simplex method, he gave a natu- ral pivot rule that pivots into the basis a ...

8

Friedmann, Oliver
  

(2011):


	Exponential Lower Bounds for Solving Infinitary Payoff Games and Linear Programs.


Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

Friedmann, Oliver (2011): Exponential Lower Bounds for Solving Infinitary Payoff Games and Linear Programs. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

... the policy iteration methods are based on the solution of related linear programs, and second, we will show that our lower bounds for infinitary payoff games can be transferred to lower bounds for one of ...

309

A logic with temporally accessible iteration

A logic with temporally accessible iteration

... In all variants of inductive logics we have discussed in the previous section, the semantics of fixed-point construction can be defined in terms of iteration of operators, associated with some formulae. In this ...

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Convergence Rate of Implicit Iteration Process and a Data Dependence Result

Convergence Rate of Implicit Iteration Process and a Data Dependence Result

... Abstract. The aim of this paper is to introduce an implicit S-iteration process and study its convergence in the framework of W-hyperbolic spaces. We show that the implicit S-iteration process has higher ...

13

On the Stability and Strong Convergence for Jungck Agarwal et al   Iteration Procedure

On the Stability and Strong Convergence for Jungck Agarwal et al Iteration Procedure

... Ishikawa iteration process in a uniformly convex Banach ...point iteration process are Ostrowski [18], Harder and Hicks [6], Rhoades[20, 21], Osillike[16], Osilike and Udomene[15] ,Jachymski [8] ,Berinde ...

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Picard iteration converges faster than Mann iteration for a class of quasi-contractive operators

Picard iteration converges faster than Mann iteration for a class of quasi-contractive operators

... Ishikawa iteration methods, see [4], for a recent ...Picard iteration (or the method of successive approximations), need not converge to the fixed point of the operator in ...

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On the Existence and Uniqueness of Stationary Equilibrium in Bewley Economies with Production

On the Existence and Uniqueness of Stationary Equilibrium in Bewley Economies with Production

... Some of the results in proposition 2 were established earlier in the literature. The fact that consumption and saving policy are continuous and increasing in wealth were covered in many papers, e.g. Schechtman and ...

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Adventures in applying iteration lemmas

Adventures in applying iteration lemmas

... conjecture that the index of such elements is bounded as well. We show that Kleene’s theorem holds in semigroups of this class, and that as a consequence all semigroups in the class are residually finite. We also give a ...

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Lucid, a nonprocedural language with iteration

Lucid, a nonprocedural language with iteration

... the truth of Lucid assertions depends on time.. For example, from.[r] ...

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Computing a eigenvector with inverse iteration

Computing a eigenvector with inverse iteration

... To illustrate the additional diculties in the computation of several vectors, con- sider a real symmetric matrix. When the eigenvalues under consideration are well- separated, inverse iteration computes ...

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On the speed of convergence of iteration of a function

On the speed of convergence of iteration of a function

... The slope of the line joining 0,f0 and zt: fzt is equal to s function x > zt, then the slope of the line joining zt, fzt and z,fzis less than s the fz is concave, hence fz < stz for z > [r] ...

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