The rapid advancement of artificial intelligence (AI) systems suggests t...
The use of interactive advice in reinforcement learning scenarios allows...
Deep Q-Networks algorithm (DQN) was the first reinforcement learning
alg...
Explainable artificial intelligence is a research field that tries to pr...
Broad Explainable Artificial Intelligence moves away from interpreting
i...
Over the last few years there has been rapid research growth into eXplai...
Real-world decision-making tasks are generally complex, requiring trade-...
Interactive reinforcement learning has allowed speeding up the learning
...
Reinforcement learning is an approach used by intelligent agents to
auto...
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...
Neural networks are effective function approximators, but hard to train ...
We report a previously unidentified issue with model-free, value-based
a...
Sequential decision-making problems with multiple objectives arise natur...