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Feb 16, 2019
Artificial Intelligence
Machine Learning

Heuristics, Answer Set Programming and Markov Decision Process for …

Spatial puzzles composed of rigid objects, flexible strings and holes offer interesting domains for reasoning about spatial entities that are common …
Jun 05, 2017
Artificial Intelligence

A method for the online construction of the set of states of a Markov…

Non-stationary domains, that change in unpredicted ways, are a challenge for agents searching for optimal policies in sequential decision-making prob…
Feb 25, 2019
Artificial Intelligence

MIRA: A Computational Neuro-Based Cognitive Architecture Applied to …

The human mind is still an unknown process of neuroscience in many aspects. Nevertheless, for decades the scientific community has proposed computati…
Sep 05, 2017
Computer Vision

Is human face processing a feature- or pattern-based task? Evidence …

Research on human face processing using eye movements has provided evidence that we recognize face images successfully focusing our visual attention …
May 03, 2017
Artificial Intelligence

Answer Set Programming for Non-Stationary Markov Decision Processes

Non-stationary domains, where unforeseen changes happen, present a challenge for agents to find an optimal policy for a sequential decision making pr…
Sep 28, 2020
Artificial Intelligence
Machine Learning

Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph …

This work proposes a neural network architecture that learns policies for multiple agent classes in a heterogeneous multi-agent reinforcement setting…
Sep 04, 2012

We proposed a non-hermitian PT-symmetric model for describing the light field of two cavities interacting through a 2D-chiral mirror. Analysing the time evolution of the system, we showed that the probability amplitude for the exchange of a photon f…

Non-hermitian model for resonant cavities coupled by a chiral mirror

Inspired by a recently observed asymmetry in the transmission of circularly polarized light through a metamaterial, we present a non-hermitian PT-sym…
Sep 28, 2020
Artificial Intelligence
Machine Learning

Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph …

This work proposes a neural network architecture that learns policies for multiple agent classes in a heterogeneous multi-agent reinforcement setting…
Jul 10, 2017
Applications

Computerized Adaptive Testing Simulation Through the Package catsim

Computerized adaptive tests are tests in which items are selected and presented to examinees in real time, according to proficiency estimations taken…
Sep 28, 2020
Artificial Intelligence
Machine Learning

Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph …

This work proposes a neural network architecture that learns policies for multiple agent classes in a heterogeneous multi-agent reinforcement setting…
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