In this paper, we investigate motor primitive learning with the Natural Actor-Critic approach. The Natural Actor-Critic consists out of actor updates which are achieved using natural stochastic policy gradients while the critic obtains the natural policy gradient by linear regression. We show that this architecture can be used to learn the “building blocks of movement generation”, called motor ...

The author of the article assesses special editorial vision Nikolay Nekrasov, from first works future great writer who saw his sight in Leo Tolstoy, and Strakhov – a person close to literature, but initially had makings critic, not an artist word. notes merit Nekrasov discovery new talents support novice writers, we analyse manner specificity Tolstoy Strakhov, sent Nekrasov's journal Sovremenni...

In his article "A Historical Account of Difference: A Comparative History of the Literary Cultures of Latin America," Mario J. Valdés addresses the well-recognized limitations of literary history as historical research. Valdés outlines the theoretical thinking that has guided the editors of The Oxford Comparative History of Latin American Literary Cultures to plan, organize, and complete the fi...

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Vibration isolation control is the critical issue to guarantee the performance of various vibration-sensitive instruments and sensors in practical engineering systems. In this paper, single network adaptive critic (SNAC) based controllers are developed for vibration isolation applications. The SNAC approach differs from the typical action-critic dual network structure in adaptive critic designs...

We present the first class of policy-gradient algorithms that work with both state-value and policy function-approximation, and are guaranteed to converge under off-policy training. Our solution targets problems in reinforcement learning where the action representation adds to thecurse-of-dimensionality; that is, with continuous or large action sets, thus making it infeasible to estimate state-...

The SR-based critic learns an estimate of the value function, using the SR as its feature representation. Unlike standard actor-critic methods, the critic does not use reward-based temporal difference errors to update its value estimate; instead, it relies on the fact that the value function is given by V (s) = ∑ s′ M(s, s ′)R(s′), where M is the successor representation andR is the expected re...

In this work, an adaptive critic-based neuro-fuzzy is presented for an unmanned bicycle. The only information available for the critic agent is the system feedback which is interpreted as the last action the controller has performed in the previous state. The signal produced by the critic agent is used alongside the back propagation of error algorithm to tune online conclusion parts of the fuzz...

sharing the resources collected or cataloged by a documentary editing project can be one of the greatest intellectual challenges a scholar faces. 1 1. Introduction It is almost impossible to list the many reasons why the preservation, editing, and study of correspondence material is of great importance to our culture. Not only do archives, repositories, and collections of manuscripts and letter...