Thematic criticizm shares a new concept inherited from romanticism: literary work is, first of all, the revelation invisible and hidden connections, inspiration. The wtiter’s attitude toward language makes text place invention rather than self-expression. criticism is internal. For those who know how to read, writer’s relationship world, other people, himself entirely contained in writer;s text...

The term literary multilingualism primarily refers to the more or less extended mix of two or more languages in the same text, entailing a cross-cultural or experimental effect. Besides intratextual multilingualism, or mixtilingualism, there is an intertextual multilingualism between heteroglot works of different authors linked to each other in a specific way (like those of the European and Lat...

In earlier papers a critic for automatically generalizing conjectures in the context of failed inductive proofs was presented. The critic exploits the partial success of the search control heuristic known as rippling. Through empirical testing a natural generalization and extension of the basic critic emerged. Here we describe our extended generalization critic together with some promising expe...

We prove the convergence of an actor/critic algorithm that is equivalent to Q-learning by construction. Its equivalence is achieved by encoding Q-values within the policy and value function of the actor and critic. The resultant actor/critic algorithm is novel in two ways: it updates the critic only when the most probable action is executed from any given state, and it rewards the actor using c...

This vignette presents Yu Hua´s novel from 1991 and analyses two different interpretations of the with fifteen years between them written by same prominent critic, Chen Xiaoming. The first interpretation was in 1992 when China early stages economic reform. second 2007 deep-going social changes had affected life individual. By comparing these essays, I aim to show how a literary text may act as ...

Actor-critic methods solve reinforcement learning problems by updating a parameterized policy known as an actor in a direction that increases an estimate of the expected return known as a critic. However, existing actor-critic methods only use values or gradients of the critic to update the policy parameter. In this paper, we propose a novel actor-critic method called the guide actor-critic (GA...