Bringing up robots or—the psychology of socially intelligent robots: from theory to implementation
Proceedings of the third annual conference on Autonomous Agents
Designing Sociable Robots
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Knowledge Acquisition and Machine Learning
Knowledge Acquisition and Machine Learning
Generalized Markov Decision Processes: Dynamic-programming and Reinforcement-learning Algorithms
Generalized Markov Decision Processes: Dynamic-programming and Reinforcement-learning Algorithms
Input generalization in delayed reinforcement learning: an algorithm and performance comparisons
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Modelling Shared Attention Through Relational Reinforcement Learning
Journal of Intelligent and Robotic Systems
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This paper describes the design and implementation of a learning method in the context of robotic architecture for the social interactive simulation. This method is based on TG algorithm, named ETG, but use incremental process during the episode of learning. So, it does not use secondary memory to storage examples before insert in relational regression engine. This make easier the agent to choose the action with a greater degree of accuracy. The performance of ETG has been tested into a robotic architecture that control a head robotic. Then, a set of empirical evaluations has been conducted in the social interactive simulator for performing the task of shared attention. The experimental results show that the proposed algorithm is able to produce appropriate learning capability for shared attention.