921 resultados para reinforcement classes


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Es tracta d'un projecte evolutiu que permetrà crear una aplicació que serveixi de suport gràfic per a les classes de Ciclo Indoor i que a més a més permetrà al professor preparar-les en pocs minuts. També tindrà un apartat dedicat a gestionar als usuaris del sistema mitjançant una connexió a una base de dades que també ha sigut dissenyada i desenvolupada en aquest projecte.

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We give Chebyshev-type quadrature formulas for certain new weight classes. These formulas are of highest possible degree when the number of nodes is a power of 2. We also describe the nodes in a constructive way, which is important for applications. One of our motivations to consider these type of problems is the Faraday cage phenomenon for discrete charges as discussed by J. Korevaar and his colleagues.

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In partnership with the VEC WTID has delivered Nutrition Level 5 FETAC to a group of 24 learners, 4 being members of the Travelling community.  This module was also delivered to 5 Childcare staff at WTIDs pre-school service. Staff of the Harmony Afterschool Service undertakes baking activities each week with the children. Group work has been facilitated with 16 men who were on a BTEI on salt, sugar, caffeine and fibre, as well as with a young girls group on food tasting of various fruits, cheeses and how to make healthy potato wedges and other healthy snacks. WTID as part of the local Traveller Interagency Group are writing a well-being manual to be used with community groups working with Travellers- Healthy Eating is a module of this manual. Plans are in place to run a First Instincts Men's Health programme which will run over an 8 week period with workshops, weigh ins and provision of a healthy breakfast on each morning. HSE West; FAS CE scheme; Involve: Senior Youth Worker; Department of Children and Youth Affairs: Childcare Service; Pobal Initiative Type Community Food Centres Nutrition Education and Training Programmes Location Galway Target Groups At risk youth Children ( 4-12 years) Children (0-4 years) Children (13-18 years) Families Lone parents Men Older people People with mental health difficulties Travellers Unemployed Women Funding HSE West; FAS CE scheme; Involve: Senior Youth Worker; Department of Children and Youth Affairs: Childcare Service; Pobal Partner Agencies Equal Ireland FÁS Galway County Council GCCCC GRD HSE Involve RAPID VEC Adult Education Service

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És ben sabut que les úniques etapes del cicle de vida del programari que necessàriament s'han d'especificar són les de recollida de requisits i l'anàlisi o l'especificació del programari. La resta (disseny, implementació i prova) es pot generar d'una manera més o menys automàtica a partir de l'anàlisi. En aquest PFC hem volgut estudiar la viabilitat de la construcció automàtica de codi SQL a partir de diagrames de classes d'anàlisi UML. S'ha estès l'eina de modelatge UML Poseidon amb un connector, de manera que amb una interfície molt simple es pot obtenir molt ràpidament l'esquema bàsic d'una base de dades, incloent-hi les taules, les seves columnes, claus rimàries i foranes, i també els disparadors (i les claus úniques) necessaris per a garantir les restriccions de cardinalitat de les associacions.

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En aquest projecte, amb la finalitat d'analitzar per mitjà d'un exemple (la base de dades d'una botiga que opera en línia) algunes de les possibilitats que dóna XML, s'ha construït un sistema que permet generar bases de dades relacionals (amb SQL) a partir de diagrames de classes definits en XML. D?aquesta manera es mostra la flexibilitat que aporta XML a la definició, el processament i la transformació dels documents.

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L'àmbit d'aquest treball és la generació automàtica de les restriccions d'integritat (claus primàries, alternatives i comprovacions), tant per a les bases de dades relacionals com per a les orientades a objectes.

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This paper proposes a hybrid coordination method for behavior-based control architectures. The hybrid method takes advantages of the robustness and modularity in competitive approaches as well as optimized trajectories in cooperative ones. This paper shows the feasibility of applying this hybrid method with a 3D-navigation to an autonomous underwater vehicle (AUV). The behaviors are learnt online by means of reinforcement learning. A continuous Q-learning implemented with a feed-forward neural network is employed. Realistic simulations were carried out. The results obtained show the good performance of the hybrid method on behavior coordination as well as the convergence of the behaviors

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This paper presents a hybrid behavior-based scheme using reinforcement learning for high-level control of autonomous underwater vehicles (AUVs). Two main features of the presented approach are hybrid behavior coordination and semi on-line neural-Q_learning (SONQL). Hybrid behavior coordination takes advantages of robustness and modularity in the competitive approach as well as efficient trajectories in the cooperative approach. SONQL, a new continuous approach of the Q_learning algorithm with a multilayer neural network is used to learn behavior state/action mapping online. Experimental results show the feasibility of the presented approach for AUVs

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This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV

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Autonomous underwater vehicles (AUV) represent a challenging control problem with complex, noisy, dynamics. Nowadays, not only the continuous scientific advances in underwater robotics but the increasing number of subsea missions and its complexity ask for an automatization of submarine processes. This paper proposes a high-level control system for solving the action selection problem of an autonomous robot. The system is characterized by the use of reinforcement learning direct policy search methods (RLDPS) for learning the internal state/action mapping of some behaviors. We demonstrate its feasibility with simulated experiments using the model of our underwater robot URIS in a target following task

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This paper proposes a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, when using RL, has been to apply value function based algorithms, the system here detailed is characterized by the use of direct policy search methods. Rather than approximating a value function, these methodologies approximate a policy using an independent function approximator with its own parameters, trying to maximize the future expected reward. The policy based algorithm presented in this paper is used for learning the internal state/action mapping of a behavior. In this preliminary work, we demonstrate its feasibility with simulated experiments using the underwater robot GARBI in a target reaching task

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TCP flows from applications such as the web or ftp are well supported by a Guaranteed Minimum Throughput Service (GMTS), which provides a minimum network throughput to the flow and, if possible, an extra throughput. We propose a scheme for a GMTS using Admission Control (AC) that is able to provide different minimum throughput to different users and that is suitable for "standard" TCP flows. Moreover, we consider a multidomain scenario where the scheme is used in one of the domains, and we propose some mechanisms for the interconnection with neighbor domains. The whole scheme uses a small set of packet classes in a core-stateless network where each class has a different discarding priority in queues assigned to it. The AC method involves only edge nodes and uses a special probing packet flow (marked as the highest discarding priority class) that is sent continuously from ingress to egress through a path. The available throughput in the path is obtained at the egress using measurements of flow aggregates, and then it is sent back to the ingress. At the ingress each flow is detected using an implicit way and then it is admission controlled. If it is accepted, it receives the GMTS and its packets are marked as the lowest discarding priority classes; otherwise, it receives a best-effort service. The scheme is evaluated through simulation in a simple "bottleneck" topology using different traffic loads consisting of "standard" TCP flows that carry files of varying sizes

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Estudi del sindicalisme a Espanya des dels seus orígens i fins el 1870. L’autor planteja dues qüestions: la ideologia elaborada pel sindicalisme entre 1840 i 1856, i en segon lloc alguns aspectes de les relacions entre sindicalisme i política, i l’elaboració d’un llenguatge de classes