no code implementations • 2 Aug 2020 • Andrea Bassich, Francesco Foglino, Matteo Leonetti, Daniel Kudenko
Curriculum Learning for Reinforcement Learning is an increasingly popular technique that involves training an agent on a sequence of intermediate tasks, called a Curriculum, to increase the agent's performance and learning speed.
no code implementations • 17 Jun 2019 • Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia
Curriculum learning is often employed in deep reinforcement learning to let the agent progress more quickly towards better behaviors.
1 code implementation • 13 Jun 2019 • Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
We propose a task sequencing algorithm maximizing the cumulative return, that is, the return obtained by the agent across all the learning episodes.
no code implementations • 31 Jan 2019 • Francesco Foglino, Christiano Coletto Christakou, Matteo Leonetti
In reinforcement learning, all previous task sequencing methods have shaped exploration with the objective of reducing the time to reach a given performance level.