We present a research outline that aims at investigating group dynamics ...
Reinforcement learning is a machine learning approach based on behaviora...
In recent years, unmanned aerial vehicle (UAV) related technology has
ex...
With the increasing presence of robotic systems and human-robot environm...
The use of interactive advice in reinforcement learning scenarios allows...
Deep Q-Networks algorithm (DQN) was the first reinforcement learning
alg...
There is a great demand for the robotization of manufacturing processes
...
Explainable artificial intelligence is a research field that tries to pr...
Deep Reinforcement Learning (DeepRL) methods have been widely used in
ro...
Broad Explainable Artificial Intelligence moves away from interpreting
i...
Explainable reinforcement learning allows artificial agents to explain t...
Proxemics is a branch of non-verbal communication concerned with studyin...
Over the last few years there has been rapid research growth into eXplai...
Interactive reinforcement learning has allowed speeding up the learning
...
Reinforcement learning is an approach used by intelligent agents to
auto...
Currently, unmanned aerial vehicles, such as drones, are becoming a part...
Most of the automatic fire alarm systems detect the fire presence throug...
Research on humanoid robotic systems involves a considerable amount of
c...
Designing the decision-making processes of artificial agents that are
in...
Robots are extending their presence in domestic environments every day, ...
A long-term goal of reinforcement learning agents is to be able to perfo...
Robotic systems are more present in our society every day. In human-robo...
The purpose of the present study is to learn emotion expression
represen...
Interactive reinforcement learning has become an important apprenticeshi...
Interactive reinforcement learning (IRL) extends traditional reinforceme...
We successfully combine Expectation-Maximization algorithm and variation...