In this webinar, AI4REALNET project provides an overview of two emerging topics in Reinforcement Learning (RL): Distributed RL and Hierarchical RL.
For both DRL and HRL, a general definition of the paradigm is provided, discussing the learning objectives, challenges, and solution concepts. It also introduced some essential algorithmic solutions, applications, and future research directions, with particular attention to the use cases of the AI4REALNET project.