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Deep reinforcement learning algorithms can learn complex behavioral skills, but real-world application of these methods requires a large amount of experience to be collected by the agent. In practical settings, such as robotics, this involves repeatedly attempting a task, resetting the environment between each attempt. However, not all tasks are easily or automatically reversible. In practice, ...
according to coates’s (2004, as cited in zhang, 2010) definition of "conversational dominance" (p.111), it refers to the phenomenon of a speaker dominating others in interaction. specifically, it means how a speaker makes use of certain strategies to get the floor and maintain the floor. thus, the amount of talk is the main measurement for the dominance of the conversation. whether a speaker do...
From the Works Progress Administration of the New Deal to the Job Corps of the Great Society era, employment programs have been advanced to fight poverty and social disorder. In today’s context of stubborn unemployment and neoliberal policy change, supported work programs are once more on the policy agenda. This article asks whether work reduces crime and drug use among heavy substance users. A...
The security policy of browsers provides no isolation between documents from the same origin (scheme, host, and port), even if those documents have different security characteristics. We show how this lack of isolation leads to origin contamination vulnerabilities in a number of browser security features, such as cookies, encryption, and code signing. A tempting approach to fixing these vulnera...
A multi-spark discharge generator was used for the synthesis of TiO2 nanoparticles. The nanoparticles were obtained in the form of fractal-like agglomerates with an average size of 30-60 nm consisting of primary spherical nanoparticles with a diameter of about 7-8 nm according to TEM measurements. We found that changing the operating parameters of the generator energy of the capacitor (2 to18 J...
This study investigates Pareto-improving congestion pricing and revenue refunding schemes in general transportation networks, which make every road user better off as compared with the situation without congestion pricing. We consider user heterogeneity in value of time (VOT) by adopting a multiclass user model with fixed origin-destination (OD) demands. We first prove that an OD and class-base...
A network congestion game is played on a directed, two-terminal network. Every player chooses a route from his origin to his destination. The cost of a route is the sum of the costs of the arcs on it. The arc cost is a function of the number of players who use it. Rosenthal proved that such a game always has a Nash equilibrium in pure strategies. Here we pursue a systematic study of the classes...
We present a visibility method that takes advantage of the graphics hardware to give fast answers to visibility queries. Our visibility method is designed to solve two types of visibility queries: point-based visibility queries, where several visibility queries share the same origin, and planebased visibility queries, where several visibility queries have their origins on the same plane. Both o...
For CISC microprocessors, the proportion of memory access instructions is relatively high, and a specific address is likely to be accessed repeatedly in a short period of time because of register-to-memory or memory-to-memory instruction set architectures and limited register sets. As superscalar architectures advance, an aggressive scheduling policy for memory access becomes crucial. In this p...
OBJECTIVE To analyse the medicines prescription, prescription filling, payment expenditure for medicines by ambulatory health service users (HSU) in 2006, and to evaluate its evolution in the last 12 years. MATERIAL AND METHODS Using data from the National Health Surveys in 2006 three binary logistic regression models were constructed to identify the variables associated with the prescription...
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