Coagent networks for reinforcement learning (RL) [Thomas and Barto, 2011...
Methods for sequential decision-making are often built upon a foundation...
We draw on the latest advancements in the physics community to propose a...
Recent research has shown that seemingly fair machine learning models, w...
When faced with sequential decision-making problems, it is often useful ...
When facing the problem of autonomously learning multiple tasks with
rei...
Reinforcement learning can greatly benefit from the use of options as a ...
Autonomy is fundamental for artificial agents acting in complex real-wor...
Machine learning algorithms are everywhere, ranging from simple data ana...