Search Results for author: Ricardo Luna Gutierrez

Found 3 papers, 2 papers with code

Meta-Reinforcement Learning for Heuristic Planning

no code implementations6 Jul 2021 Ricardo Luna Gutierrez, Matteo Leonetti

In Meta-Reinforcement Learning (meta-RL) an agent is trained on a set of tasks to prepare for and learn faster in new, unseen, but related tasks.

Meta Reinforcement Learning

Information-theoretic Task Selection for Meta-Reinforcement Learning

1 code implementation NeurIPS 2020 Ricardo Luna Gutierrez, Matteo Leonetti

In Meta-Reinforcement Learning (meta-RL) an agent is trained on a set of tasks to prepare for and learn faster in new, unseen, but related tasks.

Meta Reinforcement Learning

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 Curriculum Learning +1

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