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Desenvolvimento de estratégias e fenômenos em dinâmicas de jogos de múltiplos agentes
(2020-11)
Recent developments in Reinforcement Learning (RL) methods are focused on models that can learn good policies in non stationary environments, such as multi-agent games, where agents must learn how to react to changes in ...
Dynamic grouping in collaborative learning supported by wireless handhelds
(NATL TAIWAN NORMAL UNIV, TAIWAN, 2005)
One of the most important decisions to be made in a face-to-face collaborative learning activity is how the participating groups are composed. These compositions produce different learning and social interaction results. ...
Dynamics of Evolution and Learning
The book develops a unifying perspective on how learning influences evolutionary dynamics which for the first time explains seemingly contradicting results from the literature. It also reveals formerly unknown facets of ...
Collaborative e-learning and Learning Objects
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2009)
The Learning Object (OA) is any digital resource that can be reused to support learning with specific functions and objectives. The OA specifications are commonly offered in SCORM model without considering activities in ...
Reinforcement learning with restrictions on the action set
(SIAM Publications, 2015)
Consider a two-player normal-form game repeated over time. We introduce an
adaptive learning procedure, where the players only observe their own realized payoff at each stage.
We assume that agents do not know their own ...
Autonomous learning by simple dynamical systems with delayed feedback
(American Physical Society, 2014-09)
A general scheme for the construction of dynamical systems able to learn
generation of the desired kinds of dynamics through adjustment of their
internal structure is proposed. The scheme involves intrinsic
time-delayed ...
Self-organizing dynamical networks able to learn autonomously
(Europhysics Letters, 2018-09)
We present a model for the time evolution of network architectures based on dynamical systems. We show that the evolution of the existence of a connection in a network can be described as a stochastic non-Markovian telegraphic ...
Dynamic and static task mapping in a network-on-chip using machine learning techniques
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2015-12-16)