994 resultados para Reinforcement materials


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Anàlisi del flux de manterials que travessen el sector de la fusta a Catalunya durant l’any 2005 calculant els balanços de matèria i els indicadors derivats, de cara a avaluar la gestió dels boscos a Catalunya

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Disseny d’un projecte que controli la gestió d’ubicacions del magatzem d’una empresa del sector de materials de construcció, concretament de “Materials Brecor”, una empresa líder de la zona compresa entre la costa brava sud i el maresme nord. L’Objectiu principal és concebre un projecte que permeti controlar en temps real tant l’entrada com la sortida de mercaderies, a més a més de poder consultar la ubicació de cadascuna d’elles dins el magatzem. Aconseguint millorar els temps de resposta en el moment de localitzar l’article demanat i la seva posterior expedició al client

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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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Dins de la disciplina de Ciència i Enginyeria dels Materials, en la qual s’estudia la interrelació entre l’estructura, el processament, les propietats i les aplicacions dels materials, aquest llibre intenta descriure com les tècniques de processament industrial afecten l’estructura dels materials. L’enfocament del text se centra en el material, no pas en les tècniques emprades, temàtica més propera a les tecnologies de fabricació. El temari s’ha organitzat en cinc grans temes. Els quatre primers intenten donar els fonaments d’una tecnologia de processament (colament dels metalls, conformació per deformació, conformació per sinterització, tractaments tèrmics) mentre que el cinquè es dedica a la corrosió. El temari no inclou la tecnologia dels materials polímers que mereixeria un temari específic

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Aquests apunts corresponen a una introducció a la tecnologia dels plàstics. Es tracta d'una visió general dels processos de transformació en la qual s'analitzen tant les tècniques concretes (injecció, extrusió...) com el comportament del material durant el processament. Per això, el temari comença amb una descripció de les propietats dels materials més rellevants per a la seva transformació (comportament tèrmic i reològic). Durant la descripció de les tècniques es posa l'èmfasi en com el processament pot modular les propietats del material. Tot i que el temari inclou tant els termoplàstics com els termoestables i elastòmers, donem més importància als primers

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These are the materials for a course run at the University of Southampton to teach Algorithmic thinking to Information Technology in Organisation students. The course takes a lightweight approach, and is designed to be used alongside simple programming labs (for example, using Alice).

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Resumen tomado del autor. Contiene cuadro de clasificación de materiales no específicos del área de Educación física

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Learning Material for Photoshop

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This is a group of items which can provide additional support to students with special requirements.

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El resumen es copia del publicado con el artículo

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slides plus mark scheme and link to group work videos