Search Results for author: Adrien Laversanne-Finot

Found 3 papers, 1 papers with code

GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning

no code implementations10 Aug 2020 Grgur Kovač, Adrien Laversanne-Finot, Pierre-Yves Oudeyer

However, a currently known limitation of agents trying to maximize the diversity of sampled goals is that they tend to get attracted to noise or more generally to parts of the environments that cannot be controlled (distractors).

Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots

no code implementations10 Jun 2019 Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer

The automatic and efficient discovery of skills, without supervision, for long-living autonomous agents, remains a challenge of Artificial Intelligence.

Representation Learning

Curiosity Driven Exploration of Learned Disentangled Goal Spaces

1 code implementation4 Jul 2018 Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer

Finally, we show that the measure of learning progress, used to drive curiosity-driven exploration, can be used simultaneously to discover abstract independently controllable features of the environment.

Efficient Exploration Representation Learning

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