We propose a new incremental and stable algorithm for the NPG estimation. We call the proposed algorithm the implicit incremental natural actor critic (I2NAC).
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In this study, we propose a new incremental and stable algorithm for the NPG estimation. We call the proposed algorithm the implicit incremental natural actor ...
Oct 24, 2017 · The natural policy gradient (NPG) method is a promising approach to find a locally optimal policy parameter.
The proposed algorithm is based on the idea of implicit temporal differences, and we call the proposed one implicit incremental natural ac- tor critic (I2NAC).
Abstract. We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs.
Missing: Implicit | Show results with:Implicit
Aug 22, 2018 · We call the proposed algorithm the implicit incremental natural actor critic (I2NAC), and it is based on the idea of the implicit update.
We call the proposed algorithm the implicit incremental natural actor critic (I2NAC), and it is based on the idea of the implicit update. The convergence ...
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We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs.
Missing: Implicit | Show results with:Implicit
[PDF] Algorithm for implicit incremental natural actor criticism
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actorofthetrace,andwe giveashorthand notation,,(s,a). NAC-AP:Natural-gradientactor- criticwithadvantageparameters(NAC-. AP)wereproposed by Bhatnagaretal ...
The proposed algorithm is based on the idea of implicit temporal differences, and we call the proposed one implicit incremental natural actor critic (I2NAC).