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DECAF: Deep Case-based Policy Inference for Knowledge Transfer in Reinforcement Learning
(2020-10-15)
Having the ability to solve increasingly complex problems using Reinforcement Learning (RL) has prompted researchers to start developing a greater interest in systematic approaches to retain and reuse knowledge over a ...
A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning
(2020-05-16)
A major challenge in gene regulatory networks (GRN) of biological systems is to discover when and what in-terventions should be applied to shift them to healthy phenotypes. A set of gene activity profiles, called basin ...
Combining novelty and popularity on personalised recommendations via user profile learning
(2020-05-15)
Recommender systems have been widely used by large companies in the e-commerce segment as aid tools in the search for relevant contents according to the user’s particular preferences. A wide variety of algorithms have been ...
Qualitative case-based reasoning and learning
(2020-03-20)
The development of autonomous agents that perform tasks with the same dexterity as
performed by humans is one of the challenges of artificial intelligence and robotics.
This motivates the research on intelligent agents, ...
Detecting Soccer Balls with Reduced Neural Networks: A Comparison of Multiple Architectures Under Constrained Hardware Scenarios
(2021-03-05)
© 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.Object detection techniques that achieve state-of-the-art detection accuracy employ convolutional neural networks, implemented ...