Anàlisi de l'ús de la tècnica de treball cooperatiu del trencaclosques en alumnes de la llicenciatura de psicologia

L’assoliment de l’Espai Europeu d’Educació Superior implica nous rols per a professors i alumnes i la introducció de noves metodologies docents. En aquest article es presenta una experiència d’innovació en la docència de la Psicologia consistent en l’assaig de la tècnica de treball cooperatiu del trencaclosques. Aquesta tècnica s’ha aplicat en una classe de teoria de l’assignatura troncal i anual “Avaluació Psicològica” de segon curs de la llicenciatura de Psicologia. S’exposa el procediment i s’analitzen els pros i els contres de l’ús d’aquesta metodologia segons la perspectiva de la professora i segons el punt de vista dels alumnes

Hybrid coordination of reinforcement learning-based behaviors for AUV control

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

A behavior-based scheme using reinforcement learning for autonomous underwater vehicles

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