7,671 research outputs found
Black Hole Radiation with Modified Dispersion Relation in Tunneling Paradigm: Free-fall Frame
Due to the exponential high gravitational red shift near the event horizon of
a black hole, it might appear that the Hawking radiation would be highly
sensitive to some unknown high energy physics. To study effects of any unknown
physics at the Planck scale on the Hawking radiation, the dispersive field
theory models have been proposed, which are variations of Unruh's sonic black
hole analogy. In this paper, we use the Hamilton-Jacobi method to investigate
the dispersive field theory models. The preferred frame is the free-fall frame
of the black hole. The dispersion relation adopted agrees with the relativistic
one at low energy but is modified near the Planck mass . The corrections
to the Hawking temperature are calculated for massive and charged particles to
and neutral and massless particles with
to all orders. The Hawking temperature of radiation agrees with the
standard one at the leading order. After the spectrum of radiation near the
horizon is obtained, we use the brick wall model to compute the thermal entropy
of a massless scalar field near the horizon of a 4D spherically symmetric black
hole and a 2D one. Finally, the luminosity of a Schwarzschild black hole is
calculated by using the geometric optics approximation.Comment: 28 pages. arXiv admin note: substantial text overlap with
arXiv:1505.0304
Character of frustration on magnetic correlation in doped Hubbard model
The magnetic correlation in the Hubbard model on a two-dimensional
anisotropic triangular lattice is studied by using the determinant quantum
Monte Carlo method. Around half filling, it is found that the increasing
frustration could change the wave vector of maximum spin correlation
along
()()()
(), indicating the frustration's remarkable
effect on the magnetism. In the studied filling region =1.0-1.3, the doping
behaves like some kinds of {\it{frustration}}, which destroys the
AFM correlation quickly and push the magnetic order to a wide range of the
order when the is large
enough. Our non-perturbative calculations reveal a rich magnetic phase diagram
over both the frustration and electron doping.Comment: 6 pages, 7 figure
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Many artificial intelligence (AI) applications often require multiple
intelligent agents to work in a collaborative effort. Efficient learning for
intra-agent communication and coordination is an indispensable step towards
general AI. In this paper, we take StarCraft combat game as a case study, where
the task is to coordinate multiple agents as a team to defeat their enemies. To
maintain a scalable yet effective communication protocol, we introduce a
Multiagent Bidirectionally-Coordinated Network (BiCNet ['bIknet]) with a
vectorised extension of actor-critic formulation. We show that BiCNet can
handle different types of combats with arbitrary numbers of AI agents for both
sides. Our analysis demonstrates that without any supervisions such as human
demonstrations or labelled data, BiCNet could learn various types of advanced
coordination strategies that have been commonly used by experienced game
players. In our experiments, we evaluate our approach against multiple
baselines under different scenarios; it shows state-of-the-art performance, and
possesses potential values for large-scale real-world applications.Comment: 10 pages, 10 figures. Previously as title: "Multiagent
Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat
Games", Mar 201
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