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ANR project: Code decision (reference) : ANR-18-CE33-0005

Learning Compositional Neural Programs for Continuous Control

Thomas Pierrot , Nicolas Perrin , Feryal Behbahani , Alexandre Laterre , Olivier Sigaud et al.
2020
Preprints, Working Papers, ... hal-03083161v1

PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning

Guillaume Matheron , Nicolas Perrin , Olivier Sigaud
Artificial Neural Networks and Machine Learning – ICANN 2020, Sep 2020, Bratislava, Slovakia. pp.295-307, ⟨10.1007/978-3-030-61616-8_24⟩
Conference papers hal-03080918v1

Exploratory State Representation Learning

Astrid Merckling , Nicolas Perrin-Gilbert , Alex Coninx , Stéphane Doncieux
Frontiers in Robotics and AI, 2022, 9, ⟨10.3389/frobt.2022.762051⟩
Journal articles hal-03864236v1

Diversity policy gradient for sample efficient quality-diversity optimization

Thomas Pierrot , Valentin Macé , Felix Chalumeau , Arthur Flajolet , Geoffrey Cideron et al.
GECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. pp.1075-1083, ⟨10.1145/3512290.3528845⟩
Conference papers hal-03864262v1

Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms

Alexandre Chenu , Nicolas Perrin-Gilbert , Stéphane Doncieux , Olivier Sigaud
30th International Conference on Artificial Neural Networks - ICANN 2021, Sep 2021, Bratislava, Slovakia. pp.568-579, ⟨10.1007/978-3-030-86380-7_46⟩
Conference papers hal-03404366v1

First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework

Thomas Pierrot , Nicolas Perrin-Gilbert , Olivier Sigaud
30th International Conference on Artificial Neural Networks - ICANN 2021, Sep 2021, Bratislava, Slovakia. pp.197-208, ⟨10.1007/978-3-030-86340-1_16⟩
Conference papers hal-03404369v1

State Representation Learning from Demonstration

Astrid Merckling , Alexandre Coninx , Loic Cressot , Stephane Doncieux , Nicolas Perrin et al.
6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, Jul 2020, Siena, Italy
Conference papers hal-03083156v1

Learning Compositional Neural Programs with Recursive Tree Search and Planning

Thomas Pierrot , Guillaume Ligner , Scott Reed , Olivier Sigaud , Nicolas Perrin et al.
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), Dec 2019, Vancouver, Canada
Conference papers hal-03080949v1

QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning

Geoffrey Cideron , Thomas Pierrot , Nicolas Perrin , Karim Beguir , Olivier Sigaud et al.
2020
Preprints, Working Papers, ... hal-03083159v1

Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards

Guillaume Matheron , Nicolas Perrin , Olivier Sigaud
Artificial Neural Networks and Machine Learning – ICANN 2020, Sep 2020, Bratislava, Slovakia. pp.308-320, ⟨10.1007/978-3-030-61616-8_25⟩
Conference papers hal-03080925v1