Search Results for author: Erwan Lecarpentier

Found 6 papers, 2 papers with code

On Constrained Optimization in Differentiable Neural Architecture Search

no code implementations22 Jun 2021 Kaitlin Maile, Erwan Lecarpentier, Hervé Luga, Dennis G. Wilson

Differentiable Architecture Search (DARTS) is a recently proposed neural architecture search (NAS) method based on a differentiable relaxation.

bilevel optimization Neural Architecture Search

Lipschitz Lifelong Reinforcement Learning

1 code implementation15 Jan 2020 Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman

We consider the problem of knowledge transfer when an agent is facing a series of Reinforcement Learning (RL) tasks.

Transfer Learning

Open Loop Execution of Tree-Search Algorithms, extended version

no code implementations3 May 2018 Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson

In the context of tree-search stochastic planning algorithms where a generative model is available, we consider on-line planning algorithms building trees in order to recommend an action.

Empirical evaluation of a Q-Learning Algorithm for Model-free Autonomous Soaring

no code implementations18 Jul 2017 Erwan Lecarpentier, Sebastian Rapp, Marc Melo, Emmanuel Rachelson

Autonomous unpowered flight is a challenge for control and guidance systems: all the energy the aircraft might use during flight has to be harvested directly from the atmosphere.

Q-Learning

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