Search Results for author: Johan Ferret

Found 8 papers, 3 papers with code

Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act

no code implementations16 Mar 2022 Alexis Jacq, Johan Ferret, Olivier Pietquin, Matthieu Geist

We deem those states and corresponding actions important since they explain the difference in performance between the default and the new, lazy policy.

Atari Games Decision Making +1

Better state exploration using action sequence equivalence

no code implementations29 Sep 2021 Nathan Grinsztajn, Toby Johnstone, Johan Ferret, Philippe Preux

Incorporating prior knowledge in reinforcement learning algorithms is mainly an open question.


Adversarially Guided Actor-Critic

1 code implementation ICLR 2021 Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist

Despite definite success in deep reinforcement learning problems, actor-critic algorithms are still confronted with sample inefficiency in complex environments, particularly in tasks where efficient exploration is a bottleneck.

Efficient Exploration

Self-Imitation Advantage Learning

no code implementations22 Dec 2020 Johan Ferret, Olivier Pietquin, Matthieu Geist

Self-imitation learning is a Reinforcement Learning (RL) method that encourages actions whose returns were higher than expected, which helps in hard exploration and sparse reward problems.

Atari Games Imitation Learning

Self-Attentional Credit Assignment for Transfer in Reinforcement Learning

1 code implementation18 Jul 2019 Johan Ferret, Raphaël Marinier, Matthieu Geist, Olivier Pietquin

The ability to transfer knowledge to novel environments and tasks is a sensible desiderata for general learning agents.

reinforcement-learning Transfer Learning

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