Search Results for author: Francesco Foglino

Found 4 papers, 1 papers with code

Curriculum Learning with a Progression Function

no code implementations2 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.

reinforcement-learning Reinforcement Learning (RL)

A gray-box approach for curriculum learning

no code implementations17 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.

reinforcement-learning Reinforcement Learning (RL) +1

Curriculum Learning for Cumulative Return Maximization

1 code implementation13 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.

Combinatorial Optimization Transfer Learning

An Optimization Framework for Task Sequencing in Curriculum Learning

no code implementations31 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.

reinforcement-learning Reinforcement Learning (RL)

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