In this article, a broad perspective of supernovae, their classification and mechanism is given. Later, the astrophysical significance of supernovae is discussed in brief.

Recently it has been shown that deep neural networks can learn to play Atari games by directly observing raw pixels of the playing area. We show how apprenticeship learning can be applied in this setting so that an agent can learn to perform a task (i.e. play a game) by observing the expert, without any explicitly provided knowledge of the game’s internal state or objectives. Background Mnih et...

In this note, I point out some implications of the experiential principle* for the nature of the relationship between language and the world. I argue that this principle implies the existence of a certain relationship between linguistic tokens and facts, and that this relationship undermines most critiques of the referentiality of language. * Sharlow, M.F. From Brain to Cosmos. Parkland, FL: Un...

Correction of First-Order Functional Programs M. Alpuente a D. Ballis b S. Escobar a M. Falaschi b S. Lucas a a DSIC, Universidad Politécnica de Valencia, Camino de Vera s/n, Apdo. 22012, 46071 Valencia, Spain. Email: {alpuente,sescobar,slucas}@dsic.upv.es. b Dip. Matematica e Informatica, Via delle Scienze 206, 33100 Udine, Italy. Email: {demis,falaschi}@dimi.uniud.it.

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In this paper, I study applying applying and adjusting DeepMind’s Atari Deep Q-Learning model to train an automatic agent to play the 1985 Nintendo game Super Mario Bros. The agent learns control policies from raw pixel data using deep reinforcement learning. The model is a convolutional neural network that trained through only raw frames of the game and basic info such as score and motion.

20 M A X P L A N C K R E S E A R C H 1 / 2 0 0 9 Nature shuns perfect symmetry. If it didn’t, the universe would contain no matter – only radiation. For half a century now, physicists have been searching for the reason behind this minor yet, for humans, essential departure from perfection. Three Nobel Prizes have already been awarded for partial successes, the last one in 2008. At the MAX PLANC...

Abstract I briefly discuss some attempts to construct a consistent modification to General Relativity (GR) that might explain the observed late-time acceleration of the universe and provide an alternative to dark energy. I mention the issues facing extensions to GR, illustrate these with two specific examples, and discuss the resulting observational and theoretical obstacles. This article compr...