Erwan Lecarpentier

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 10

Top Topics

Lagrange Multipliers

Inverted Pendulum

Reinforcement Learning

Markov Decision Process

Top Venues

Publications

Erwan Lecarpentier, Paul Templier, Emmanuel Rachelson, Dennis G. Wilson
LUCIE: an evaluation and selection method for stochastic problems. GECCO (2022)
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman
Lipschitz Lifelong Reinforcement Learning. AAAI (2021)
Kaitlin Maile, Erwan Lecarpentier, Hervé Luga, Dennis G. Wilson
On Constrained Optimization in Differentiable Neural Architecture Search. CoRR (2021)
Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman
Lipschitz Lifelong Reinforcement Learning. CoRR (2020)
Erwan Lecarpentier, Emmanuel Rachelson
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning. NeurIPS (2019)
Erwan Lecarpentier, Emmanuel Rachelson
Non-Stationary Markov Decision Processes a Worst-Case Approach using Model-Based Reinforcement Learning. CoRR (2019)
Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson
Open Loop Execution of Tree-Search Algorithms. JFPDA (2018)
Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson
Open Loop Execution of Tree-Search Algorithms. CoRR (2018)
Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson
Open Loop Execution of Tree-Search Algorithms. IJCAI (2018)
Erwan Lecarpentier, Sebastian Rapp, Marc Melo, Emmanuel Rachelson
Empirical evaluation of a Q-Learning Algorithm for Model-free Autonomous Soaring. CoRR (2017)