Olivier Sigaud

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 84

Top Venues

Publications

Zakariae El Asri, Olivier Sigaud, Nicolas Thome
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. CoRR (2024)
Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
Single-Reset Divide & Conquer Imitation Learning. CoRR (2024)
Clémence Grislain, Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Utility-based Adaptive Teaching Strategies using Bayesian Theory of Mind. CoRR (2023)
Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. CoRR (2023)
Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. CoRR (2023)
Olivier Sigaud, Ahmed Akakzia, Hugo Caselles-Dupré, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani
Toward Teachable Autotelic Agents. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Olivier Sigaud
Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey. ACM Trans. Evol. Learn. Optim. 3 (3) (2023)
Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. ICML (2023)
Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning. ICML (2023)
Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Enhancing Agent Communication and Learning through Action and Language. CoRR (2023)
Vaynee Sungeelee, Antoine Loriette, Olivier Sigaud, Baptiste Caramiaux
Human-Machine Co-Learning : Case Study on Motor Skill Acquisition. IHM (2023)
Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp
A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. CoRR (2023)
Ahmed Akakzia, Olivier Sigaud
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks. CoRR (2022)
Ahmed Akakzia, Olivier Serris, Olivier Sigaud, Cédric Colas
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents. CoRR (2022)
Aloïs Pourchot, Kévin Bailly, Alexis Ducarouge, Olivier Sigaud
An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark. Neurocomputing 498 (2022)
Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud
Divide & Conquer Imitation Learning. IROS (2022)
Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO (2022)
Olivier Sigaud
Combining Evolution and Deep Reinforcement Learning for Policy Search: a Survey. CoRR (2022)
Ahmed Akakzia, Olivier Sigaud
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks. CoLLAs (2022)
Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments. CoRR (2022)
Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration. CoRR (2022)
Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. NeurIPS (2022)
Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud
Divide & Conquer Imitation Learning. CoRR (2022)
Nicolas Castanet, Sylvain Lamprier, Olivier Sigaud
Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems. CoRR (2022)
Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. CoRR (2022)
Aloïs Pourchot, Kévin Bailly, Alexis Ducarouge, Olivier Sigaud
Neural Architecture Search for Fracture Classification. ICIP (2022)
Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning. CoRR (2022)
Maël Franceschetti, Coline Lacoux, Ryan Ohouens, Antonin Raffin, Olivier Sigaud
Making Reinforcement Learning Work on Swimmer. CoRR (2022)
Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey. J. Artif. Intell. Res. 74 (2022)
Hugo Caselles-Dupré, Mohamed Chetouani, Olivier Sigaud
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions. CoRR (2022)
Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments. NeurIPS (2022)
Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
Grounding Language to Autonomously-Acquired Skills via Goal Generation. ICLR (2021)
Anis Najar, Olivier Sigaud, Mohamed Chetouani
Teaching a Robot with Unlabeled Instructions: The TICS Architecture. AAMAS (2021)
Pierre Fournier, Cédric Colas, Mohamed Chetouani, Olivier Sigaud
CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments. IEEE Trans. Cogn. Dev. Syst. 13 (2) (2021)
Alexandre Chenu, Nicolas Perrin-Gilbert, Stéphane Doncieux, Olivier Sigaud
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms. CoRR (2021)
Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud
First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. ICANN (2) (2021)
Alexandre Chenu, Nicolas Perrin, Stéphane Doncieux, Olivier Sigaud
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms. ICANN (4) (2021)
Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani
Towards Teachable Autonomous Agents. CoRR (2021)
Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL. CoRR (2020)
Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning. CoRR (2020)
Thomas Pierrot, Nicolas Perrin, Feryal Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas
Learning Compositional Neural Programs for Continuous Control. CoRR (2020)
Ryan Lober, Olivier Sigaud, Vincent Padois
Task Feasibility Maximization Using Model-Free Policy Search and Model-Based Whole-Body Control. Frontiers Robotics AI 7 (2020)
Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards. ICANN (2) (2020)
Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud
QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning. CoRR (2020)
Anis Najar, Olivier Sigaud, Mohamed Chetouani
Interactively shaping robot behaviour with unlabeled human instructions. Auton. Agents Multi Agent Syst. 34 (2) (2020)
Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey. CoRR (2020)
Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents. CoRR (2020)
Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR (2020)
Aloïs Pourchot, Alexis Ducarouge, Olivier Sigaud
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing. CoRR (2020)
Félix Rutard, Olivier Sigaud, Mohamed Chetouani
TIRL: Enriching Actor-Critic RL with non-expert human teachers and a Trust Model. RO-MAN (2020)
Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir
Offline Reinforcement Learning Hands-On. CoRR (2020)
Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning. ICANN (2) (2020)
Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
Learning Compositional Neural Programs with Recursive Tree Search and Planning. CoRR (2019)
Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
The problem with DDPG: understanding failures in deterministic environments with sparse rewards. CoRR (2019)
Pierre Fournier, Olivier Sigaud, Cédric Colas, Mohamed Chetouani
CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments. CoRR (2019)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. RML@ICLR (2019)
Olivier Sigaud, Freek Stulp
Policy search in continuous action domains: An overview. Neural Networks 113 (2019)
Cédric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, Mohamed Chetouani
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning. ICML (2019)
Anis Najar, Olivier Sigaud, Mohamed Chetouani
Interactively shaping robot behaviour with unlabeled human instructions. CoRR (2019)
Aloïs Pourchot, Olivier Sigaud
CEM-RL: Combining evolutionary and gradient-based methods for policy search. ICLR (Poster) (2019)
Chenyang Zhao, Olivier Sigaud, Freek Stulp, Timothy M. Hospedales
Investigating Generalisation in Continuous Deep Reinforcement Learning. CoRR (2019)
Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
Learning Compositional Neural Programs with Recursive Tree Search and Planning. NeurIPS (2019)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. CoRR (2019)
Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics 12 (2018)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. JFPDA (2018)
Aloïs Pourchot, Olivier Sigaud
CEM-RL: Combining evolutionary and gradient-based methods for policy search. CoRR (2018)
Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration. CoRR (2018)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. CoRR (2018)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments. CoRR (2018)
Olivier Sigaud, Freek Stulp
Policy Search in Continuous Action Domains: an Overview. CoRR (2018)
Aloïs Pourchot, Nicolas Perrin, Olivier Sigaud
Importance mixing: Improving sample reuse in evolutionary policy search methods. CoRR (2018)
Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects. CoRR (2018)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. ICML (2018)
Francesco Romano, Gabriele Nava, Morteza Azad, Jernej Camernik, Stefano Dafarra, Oriane Dermy, Claudia Latella, Maria Lazzaroni, Ryan Lober, Marta Lorenzini, Daniele Pucci, Olivier Sigaud, Silvio Traversaro, Jan Babic, Serena Ivaldi, Michael N. Mistry, Vincent Padois, Francesco Nori
The CoDyCo Project Achievements and Beyond: Toward Human Aware Whole-Body Controllers for Physical Human Robot Interaction. IEEE Robotics Autom. Lett. 3 (1) (2018)
Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects. Frontiers Robotics AI 5 (2018)
Pierre Fournier, Olivier Sigaud, Mohamed Chetouani, Pierre-Yves Oudeyer
Accuracy-based Curriculum Learning in Deep Reinforcement Learning. CoRR (2018)
Cédric Colas, Pierre Fournier, Olivier Sigaud, Pierre-Yves Oudeyer
CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. CoRR (2018)
Thomas Pierrot, Nicolas Perrin, Olivier Sigaud
First-order and second-order variants of the gradient descent: a unified framework. CoRR (2018)
Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration. ICLR (Poster) (2018)
Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control. IJCAI (2017)
Olivier Sigaud, Alain Droniou
Towards Deep Developmental Learning. IEEE Trans. Cogn. Dev. Syst. 8 (2) (2016)
Arnaud de Froissard de Broissia, Olivier Sigaud
Actor-critic versus direct policy search: a comparison based on sample complexity. CoRR (2016)
Anis Najar, Olivier Sigaud, Mohamed Chetouani
Training a robot with evaluative feedback and unlabeled guidance signals. RO-MAN (2016)
Ryan Lober, Vincent Padois, Olivier Sigaud
Efficient reinforcement learning for humanoid whole-body control. Humanoids (2016)
Anis Najar, Olivier Sigaud, Mohamed Chetouani
Social-Task Learning for HRI. ICSR (2015)
Ryan Lober, Vincent Padois, Olivier Sigaud
Variance modulated task prioritization in Whole-Body Control. IROS (2015)
Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp
Gated networks: an inventory. CoRR (2015)
Alain Droniou, Serena Ivaldi, Olivier Sigaud
Deep unsupervised network for multimodal perception, representation and classification. Robotics Auton. Syst. 71 (2015)
Freek Stulp, Olivier Sigaud
Many regression algorithms, one unified model: A review. Neural Networks 69 (2015)
Anis Najar, Olivier Sigaud, Mohamed Chetouani
Socially Guided XCS: Using Teaching Signals to Boost Learning. GECCO (Companion) (2015)
Serena Ivaldi, Sao Mai Nguyen, Natalia Lyubova, Alain Droniou, Vincent Padois, David Filliat, Pierre-Yves Oudeyer, Olivier Sigaud
Object Learning Through Active Exploration. IEEE Trans. Auton. Ment. Dev. 6 (1) (2014)
Serena Ivaldi, Salvatore Maria Anzalone, Woody Rousseau, Olivier Sigaud, Mohamed Chetouani
Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement. Frontiers Neurorobotics 8 (2014)
Alain Droniou, Serena Ivaldi, Olivier Sigaud
Learning a repertoire of actions with deep neural networks. ICDL-EPIROB (2014)
Florian Lesaint, Olivier Sigaud, Shelly B. Flagel, Terry E. Robinson, Mehdi Khamassi
Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations. PLoS Comput. Biol. 10 (2) (2014)
Ryan Lober, Vincent Padois, Olivier Sigaud
Multiple task optimization using dynamical movement primitives for whole-body reactive control. Humanoids (2014)
Alain Droniou, Olivier Sigaud
Gated Autoencoders with Tied Input Weights. ICML (2) (2013)
Olivier Sigaud, Freek Stulp
Adaptation de la matrice de covariance pour l'apprentissage par renforcement direct. Rev. d'Intelligence Artif. 27 (2) (2013)
Sao Mai Nguyen, Serena Ivaldi, Natalia Lyubova, Alain Droniou, Damien Gérardeaux-Viret, David Filliat, Vincent Padois, Olivier Sigaud, Pierre-Yves Oudeyer
Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot. ICDL-EPIROB (2013)
Didier Marin, Lionel Rigoux, Olivier Sigaud
Apprentissage et optimisation de politiques pour un bras articulé actionné par des muscles. Rev. d'Intelligence Artif. 27 (2) (2013)
Freek Stulp, Olivier Sigaud
Robot Skill Learning: From Reinforcement Learning to Evolution Strategies. Paladyn J. Behav. Robotics 4 (1) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Olivier Sigaud