Olivier Sigaud

176 papers A* 14A 13B 4Journal 98Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A tale of two goals: leveraging short term goals performs best in multi-goal scenarios. Trans. Mach. Learn. Res. Olivier Serris, Stéphane Doncieux, Olivier Sigaud
2026	J	`jnl`	Iterative On-Policy Refinement of Hierarchical Diffusion Policies for Language-Conditioned Manipulation. CoRR Clémence Grislain, Olivier Sigaud, Mohamed Chetouani
2025	J	`jnl`	A tale of two goals: leveraging sequentiality in multi-goal scenarios. CoRR Olivier Serris, Stéphane Doncieux, Olivier Sigaud
2025	J	`jnl`	Controlling Intent Expressiveness in Robot Motion with Diffusion Models. CoRR Wenli Shi, Clémence Grislain, Olivier Sigaud, Mohamed Chetouani
2025	J	`jnl`	HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents. CoRR Thomas Carta, Clément Romac, Loris Gaven, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier
2025	J	`jnl`	I-FailSense: Towards General Robotic Failure Detection with Vision-Language Models. CoRR Clémence Grislain, Hamed Rahimi, Olivier Sigaud, Mohamed Chetouani
2025	J	`jnl`	Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning. CoRR Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
2025	—	`conf`	Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration. Humanoids Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
2025	A*	`conf`	MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces. ICML Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
2025	J	`jnl`	MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces. CoRR Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
2025	A	`conf`	RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms. IROS Zakariae El Asri, Ibrahim Laiche, Clément Rambour, Olivier Sigaud, Nicolas Thome
2025	J	`jnl`	RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms. CoRR Zakariae El Asri, Ibrahim Laiche, Clément Rambour, Olivier Sigaud, Nicolas Thome
2025	—	`conf`	Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting. NAACL (Findings) Mohamed Salim Aissi, Clément Romac, Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud, Laure Soulier, Nicolas Thome
2025	J	`jnl`	VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making. CoRR Mohamed Salim Aissi, Clémence Grislain, Mohamed Chetouani, Olivier Sigaud, Laure Soulier, Nicolas Thome
2024	J	`jnl`	An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. RLJ Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp
2024	A*	`conf`	Bridging Environments and Language with Rendering Functions and Vision-Language Models. ICML Théo Cachet, Christopher R. Dance, Olivier Sigaud
2024	J	`jnl`	Bridging Environments and Language with Rendering Functions and Vision-Language Models. CoRR Théo Cachet, Christopher R. Dance, Olivier Sigaud
2024	J	`jnl`	Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. RLJ Zakariae El Asri, Olivier Sigaud, Nicolas Thome
2024	J	`jnl`	Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. CoRR Zakariae El Asri, Olivier Sigaud, Nicolas Thome
2024	J	`jnl`	Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting. CoRR Mohamed Salim Aissi, Clément Romac, Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud, Laure Soulier, Nicolas Thome
2024	J	`jnl`	SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling. CoRR Loris Gaven, Clément Romac, Thomas Carta, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
2024	J	`jnl`	Single-Reset Divide & Conquer Imitation Learning. CoRR Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
2023	J	`jnl`	A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. CoRR Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci
2023	J	`jnl`	A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. CoRR Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp
2023	J	`jnl`	Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey. ACM Trans. Evol. Learn. Optim. Olivier Sigaud
2023	J	`jnl`	Enhancing Agent Communication and Learning through Action and Language. CoRR Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
2023	A*	`conf`	Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. ICML Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
2023	J	`jnl`	Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. CoRR Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
2023	—	`conf`	Human-Machine Co-Learning : Case Study on Motor Skill Acquisition. IHM Vaynee Sungeelee, Antoine Loriette, Olivier Sigaud, Baptiste Caramiaux
2023	A*	`conf`	Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning. ICML Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
2023	J	`jnl`	Toward Teachable Autotelic Agents. IEEE Trans. Cogn. Dev. Syst. Olivier Sigaud, Ahmed Akakzia, Hugo Caselles-Dupré, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani
2023	J	`jnl`	Utility-based Adaptive Teaching Strategies using Bayesian Theory of Mind. CoRR Clémence Grislain, Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
2022	J	`jnl`	An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark. Neurocomputing Aloïs Pourchot, Kévin Bailly, Alexis Ducarouge, Olivier Sigaud
2022	J	`jnl`	Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey. J. Artif. Intell. Res. Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
2022	J	`jnl`	Combining Evolution and Deep Reinforcement Learning for Policy Search: a Survey. CoRR Olivier Sigaud
2022	A	`conf`	Diversity policy gradient for sample efficient quality-diversity optimization. GECCO Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
2022	A	`conf`	Divide & Conquer Imitation Learning. IROS Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud
2022	J	`jnl`	Divide & Conquer Imitation Learning. CoRR Alexandre Chenu, Nicolas Perrin-Gilbert, Olivier Sigaud
2022	A*	`conf`	EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. NeurIPS Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier
2022	J	`jnl`	EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. CoRR Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud
2022	J	`jnl`	Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents. CoRR Ahmed Akakzia, Olivier Serris, Olivier Sigaud, Cédric Colas
2022	—	`conf`	Learning Object-Centered Autotelic Behaviors with Graph Neural Networks. CoLLAs Ahmed Akakzia, Olivier Sigaud
2022	J	`jnl`	Learning Object-Centered Autotelic Behaviors with Graph Neural Networks. CoRR Ahmed Akakzia, Olivier Sigaud
2022	J	`jnl`	Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration. CoRR Alexandre Chenu, Olivier Serris, Olivier Sigaud, Nicolas Perrin-Gilbert
2022	J	`jnl`	Making Reinforcement Learning Work on Swimmer. CoRR Maël Franceschetti, Coline Lacoux, Ryan Ohouens, Antonin Raffin, Olivier Sigaud
2022	B	`conf`	Neural Architecture Search for Fracture Classification. ICIP Aloïs Pourchot, Kévin Bailly, Alexis Ducarouge, Olivier Sigaud
2022	J	`jnl`	Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning. CoRR Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
2022	J	`jnl`	Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions. CoRR Hugo Caselles-Dupré, Mohamed Chetouani, Olivier Sigaud
2022	A*	`conf`	Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments. NeurIPS Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
2022	J	`jnl`	Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments. CoRR Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani
2022	J	`jnl`	Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems. CoRR Nicolas Castanet, Sylvain Lamprier, Olivier Sigaud
2021	J	`jnl`	CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments. IEEE Trans. Cogn. Dev. Syst. Pierre Fournier, Cédric Colas, Mohamed Chetouani, Olivier Sigaud
2021	—	`conf`	First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework. ICANN (2) Thomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud
2021	A*	`conf`	Grounding Language to Autonomously-Acquired Skills via Goal Generation. ICLR Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
2021	—	`conf`	Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms. ICANN (4) Alexandre Chenu, Nicolas Perrin, Stéphane Doncieux, Olivier Sigaud
2021	J	`jnl`	Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms. CoRR Alexandre Chenu, Nicolas Perrin-Gilbert, Stéphane Doncieux, Olivier Sigaud
2021	A	`conf`	Teaching a Robot with Unlabeled Instructions: The TICS Architecture. AAMAS Anis Najar, Olivier Sigaud, Mohamed Chetouani
2021	J	`jnl`	Towards Teachable Autonomous Agents. CoRR Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani
2020	—	`ch.`	Artificial Intelligence and Pattern Recognition, Vision, Learning. A Guided Tour of Artificial Intelligence Research (3) (III) Isabelle Bloch, Régis Clouard, Marinette Revenu, Olivier Sigaud
2020	J	`jnl`	DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents. CoRR Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
2020	J	`jnl`	DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR 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
2020	J	`jnl`	Interactively shaping robot behaviour with unlabeled human instructions. Auton. Agents Multi Agent Syst. Anis Najar, Olivier Sigaud, Mohamed Chetouani
2020	J	`jnl`	Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey. CoRR Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
2020	J	`jnl`	Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL. CoRR Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
2020	J	`jnl`	Learning Compositional Neural Programs for Continuous Control. CoRR Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas
2020	J	`jnl`	Offline Reinforcement Learning Hands-On. CoRR Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir
2020	J	`jnl`	PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning. CoRR Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
2020	—	`conf`	PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning. ICANN (2) Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
2020	J	`jnl`	QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning. CoRR Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud
2020	B	`conf`	TIRL: Enriching Actor-Critic RL with non-expert human teachers and a Trust Model. RO-MAN Félix Rutard, Olivier Sigaud, Mohamed Chetouani
2020	J	`jnl`	Task Feasibility Maximization Using Model-Free Policy Search and Model-Based Whole-Body Control. Frontiers Robotics AI Ryan Lober, Olivier Sigaud, Vincent Padois
2020	J	`jnl`	To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing. CoRR Aloïs Pourchot, Alexis Ducarouge, Olivier Sigaud
2020	—	`conf`	Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards. ICANN (2) Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
2019	—	`conf`	A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. RML@ICLR Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2019	J	`jnl`	A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. CoRR Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2019	—	`conf`	CEM-RL: Combining evolutionary and gradient-based methods for policy search. ICLR (Poster) Aloïs Pourchot, Olivier Sigaud
2019	J	`jnl`	CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments. CoRR Pierre Fournier, Olivier Sigaud, Cédric Colas, Mohamed Chetouani
2019	A*	`conf`	CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning. ICML Cédric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, Mohamed Chetouani
2019	J	`jnl`	Interactively shaping robot behaviour with unlabeled human instructions. CoRR Anis Najar, Olivier Sigaud, Mohamed Chetouani
2019	J	`jnl`	Investigating Generalisation in Continuous Deep Reinforcement Learning. CoRR Chenyang Zhao, Olivier Sigaud, Freek Stulp, Timothy M. Hospedales
2019	A*	`conf`	Learning Compositional Neural Programs with Recursive Tree Search and Planning. NeurIPS Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
2019	J	`jnl`	Learning Compositional Neural Programs with Recursive Tree Search and Planning. CoRR Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
2019	J	`jnl`	Policy search in continuous action domains: An overview. Neural Networks Olivier Sigaud, Freek Stulp
2019	J	`jnl`	The problem with DDPG: understanding failures in deterministic environments with sparse rewards. CoRR Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
2018	J	`jnl`	Accuracy-based Curriculum Learning in Deep Reinforcement Learning. CoRR Pierre Fournier, Olivier Sigaud, Mohamed Chetouani, Pierre-Yves Oudeyer
2018	J	`jnl`	CEM-RL: Combining evolutionary and gradient-based methods for policy search. CoRR Aloïs Pourchot, Olivier Sigaud
2018	J	`jnl`	CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. CoRR Cédric Colas, Pierre Fournier, Olivier Sigaud, Pierre-Yves Oudeyer
2018	J	`jnl`	First-order and second-order variants of the gradient descent: a unified framework. CoRR Thomas Pierrot, Nicolas Perrin, Olivier Sigaud
2018	A*	`conf`	GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. ICML Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2018	—	`conf`	GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. JFPDA Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2018	J	`jnl`	GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. CoRR Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2018	J	`jnl`	How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments. CoRR Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2018	J	`jnl`	Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects. CoRR Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière
2018	J	`jnl`	Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects. Frontiers Robotics AI Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière
2018	J	`jnl`	Importance mixing: Improving sample reuse in evolutionary policy search methods. CoRR Aloïs Pourchot, Nicolas Perrin, Olivier Sigaud
2018	J	`jnl`	Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud
2018	J	`jnl`	Policy Search in Continuous Action Domains: an Overview. CoRR Olivier Sigaud, Freek Stulp
2018	J	`jnl`	The CoDyCo Project Achievements and Beyond: Toward Human Aware Whole-Body Controllers for Physical Human Robot Interaction. IEEE Robotics Autom. Lett. 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
2018	—	`conf`	Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration. ICLR (Poster) Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer
2018	J	`jnl`	Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration. CoRR Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer
2017	A*	`conf`	Tensor Based Knowledge Transfer Across Skill Categories for Robot Control. IJCAI Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud
2016	J	`jnl`	Actor-critic versus direct policy search: a comparison based on sample complexity. CoRR Arnaud de Froissard de Broissia, Olivier Sigaud
2016	—	`conf`	Efficient reinforcement learning for humanoid whole-body control. Humanoids Ryan Lober, Vincent Padois, Olivier Sigaud
2016	J	`jnl`	Towards Deep Developmental Learning. IEEE Trans. Cogn. Dev. Syst. Olivier Sigaud, Alain Droniou
2016	B	`conf`	Training a robot with evaluative feedback and unlabeled guidance signals. RO-MAN Anis Najar, Olivier Sigaud, Mohamed Chetouani
2015	J	`jnl`	Deep unsupervised network for multimodal perception, representation and classification. Robotics Auton. Syst. Alain Droniou, Serena Ivaldi, Olivier Sigaud
2015	J	`jnl`	Gated networks: an inventory. CoRR Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp
2015	J	`jnl`	Many regression algorithms, one unified model: A review. Neural Networks Freek Stulp, Olivier Sigaud
2015	B	`conf`	Social-Task Learning for HRI. ICSR Anis Najar, Olivier Sigaud, Mohamed Chetouani
2015	—	`conf`	Socially Guided XCS: Using Teaching Signals to Boost Learning. GECCO (Companion) Anis Najar, Olivier Sigaud, Mohamed Chetouani
2015	A	`conf`	Variance modulated task prioritization in Whole-Body Control. IROS Ryan Lober, Vincent Padois, Olivier Sigaud
2014	—	`conf`	Learning a repertoire of actions with deep neural networks. ICDL-EPIROB Alain Droniou, Serena Ivaldi, Olivier Sigaud
2014	J	`jnl`	Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations. PLoS Comput. Biol. Florian Lesaint, Olivier Sigaud, Shelly B. Flagel, Terry E. Robinson, Mehdi Khamassi
2014	—	`conf`	Multiple task optimization using dynamical movement primitives for whole-body reactive control. Humanoids Ryan Lober, Vincent Padois, Olivier Sigaud
2014	J	`jnl`	Object Learning Through Active Exploration. IEEE Trans. Auton. Ment. Dev. Serena Ivaldi, Sao Mai Nguyen, Natalia Lyubova, Alain Droniou, Vincent Padois, David Filliat, Pierre-Yves Oudeyer, Olivier Sigaud
2014	J	`jnl`	Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement. Frontiers Neurorobotics Serena Ivaldi, Salvatore Maria Anzalone, Woody Rousseau, Olivier Sigaud, Mohamed Chetouani
2013	J	`jnl`	Adaptation de la matrice de covariance pour l'apprentissage par renforcement direct. Rev. d'Intelligence Artif. Olivier Sigaud, Freek Stulp
2013	J	`jnl`	Apprentissage et optimisation de politiques pour un bras articulé actionné par des muscles. Rev. d'Intelligence Artif. Didier Marin, Lionel Rigoux, Olivier Sigaud
2013	—	`conf`	Gated Autoencoders with Tied Input Weights. ICML (2) Alain Droniou, Olivier Sigaud
2013	—	`conf`	Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot. ICDL-EPIROB Sao Mai Nguyen, Serena Ivaldi, Natalia Lyubova, Alain Droniou, Damien Gérardeaux-Viret, David Filliat, Vincent Padois, Olivier Sigaud, Pierre-Yves Oudeyer
2013	J	`jnl`	Robot Skill Learning: From Reinforcement Learning to Evolution Strategies. Paladyn J. Behav. Robotics Freek Stulp, Olivier Sigaud
2012	A	`conf`	Autonomous online learning of velocity kinematics on the iCub: A comparative study. IROS Alain Droniou, Serena Ivaldi, Vincent Padois, Olivier Sigaud
2012	J	`jnl`	Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. CoRR Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2012	J	`jnl`	From humans to humanoids: The optimal control framework. Paladyn J. Behav. Robotics Serena Ivaldi, Olivier Sigaud, Bastien Berret, Francesco Nori
2012	J	`jnl`	Function approximation with LWPR and XCSF: a comparative study. Evol. Intell. Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz
2012	—	`conf`	Multimodal People Engagement with iCub. BICA Salvatore Maria Anzalone, Serena Ivaldi, Olivier Sigaud, Mohamed Chetouani
2012	J	`jnl`	Path Integral Policy Improvement with Covariance Matrix Adaptation CoRR Freek Stulp, Olivier Sigaud
2012	A*	`conf`	Path Integral Policy Improvement with Covariance Matrix Adaptation. ICML Freek Stulp, Olivier Sigaud
2012	—	`conf`	Perception and human interaction for developmental learning of objects and affordances. Humanoids Serena Ivaldi, Natalia Lyubova, Damien Gérardeaux-Viret, Alain Droniou, Salvatore Maria Anzalone, Mohamed Chetouani, David Filliat, Olivier Sigaud
2012	—	`conf`	Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task? SAB Jean Bellot, Olivier Sigaud, Mehdi Khamassi
2012	J	`jnl`	XCSF with local deletion: preventing detrimental forgetting. Evol. Intell. Martin V. Butz, Olivier Sigaud
2011	A	`conf`	Learning cost-efficient control policies with XCSF: generalization capabilities and further improvement. GECCO Didier Marin, Jérémie Decock, Lionel Rigoux, Olivier Sigaud
2011	—	`conf`	Learning the velocity kinematics of ICUB for model-based control: XCSF versus LWPR. Humanoids Guillaume Sicard, Camille Salaün, Serena Ivaldi, Vincent Padois, Olivier Sigaud
2011	J	`jnl`	On-line regression algorithms for learning mechanical models of robots: A survey. Robotics Auton. Syst. Olivier Sigaud, Camille Salaün, Vincent Padois
2011	—	`conf`	XCSF with local deletion: preventing detrimental forgetting. GECCO (Companion) Martin V. Butz, Olivier Sigaud
2010	—	`conf`	A comparative study: function approximation with LWPR and XCSF. GECCO (Companion) Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz
2010	—	`book`	From Motor Learning to Interaction Learning in Robots From Motor Learning to Interaction Learning in Robots Olivier Sigaud, Jan Peters
2010	—	`ch.`	From Motor Learning to Interaction Learning in Robots. From Motor Learning to Interaction Learning in Robots Olivier Sigaud, Jan Peters
2010	—	`ch.`	Learning Forward Models for the Operational Space Control of Redundant Robots. From Motor Learning to Interaction Learning in Robots Camille Salaün, Vincent Padois, Olivier Sigaud
2010	—	`conf`	TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs. SAB Olga Kozlova, Olivier Sigaud, Christophe Meyer
2009	—	`ed.`	Anticipatory Behavior in Adaptive Learning Systems, From Psychological Theories to Artificial Cognitive Systems [4th Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, Munich, Germany, June 26-27, 2008] ABiALS Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre
2009	J	`jnl`	Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs. Rev. d'Intelligence Artif. Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2009	—	`conf`	Considering Unseen States as Impossible in Factored Reinforcement Learning. ECML/PKDD (1) Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillemin, Christophe Meyer
2009	A	`conf`	Control of redundant robots using learned models: An operational space control approach. IROS Camille Salaün, Vincent Padois, Olivier Sigaud
2009	A*	`conf`	Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach. ICRA Benoit Libeau, Alain Micaelli, Olivier Sigaud
2008	—	`conf`	A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion. ABiALS Camille Salaün, Vincent Padois, Olivier Sigaud
2008	J	`jnl`	A comparison between ATNoSFERES and Learning Classifier Systems on non-Markov problems. Inf. Sci. Samuel Landau, Olivier Sigaud
2008	—	`conf`	Anticipatory Learning Classifier Systems and Factored Reinforcement Learning. ABiALS Olivier Sigaud, Martin V. Butz, Olga Kozlova, Christophe Meyer
2008	—	`conf`	Compacting a Rule Base into an and/or Diagram for Game AI. GAMEON Samuel Manier, Olivier Sigaud
2008	—	`conf`	Exploiting Additive Structure in Factored MDPs for Reinforcement Learning. EWRL Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2008	—	`conf`	From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. ABiALS Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre
2007	—	`ed.`	Anticipatory Behavior in Adaptive Learning Systems, From Brains to Individual and Social Behavior [the book is a result from the third workshop on anticipatory behavior in adaptive learning systems, ABiALS 2006, Rome, Italy, September 30, 2006, colocated with SAB 2006] ABiALS book Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre
2007	J	`jnl`	Learning classifier systems: a survey. Soft Comput. Olivier Sigaud, Stewart W. Wilson
2007	J	`jnl`	Les systèmes de classeurs. Rev. d'Intelligence Artif. Olivier Sigaud
2006	—	`conf`	Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. SAB ABiALS Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre
2006	A	`conf`	Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. UAI Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2006	J	`jnl`	GACS : une approche ascendante pour la coordination spatiale. Rev. d'Intelligence Artif. Fabien Flacher, Olivier Sigaud
2006	A*	`conf`	Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. ICML Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2005	J	`jnl`	ATNoSFERES revisited CoRR Samuel Landau, Olivier Sigaud, Marc Schoenauer
2005	A	`conf`	ATNoSFERES revisited. GECCO Samuel Landau, Olivier Sigaud, Marc Schoenauer
2005	—	`conf`	An Experimental Comparison Between ATNoSFERES and ACS. IWLCS Samuel Landau, Olivier Sigaud, Sébastien Picault, Pierre Gérard
2005	J	`jnl`	Combining latent learning with dynamic programming in the modular anticipatory classifier system. Eur. J. Oper. Res. Pierre Gérard, Jean-Arcady Meyer, Olivier Sigaud
2005	A	`conf`	GACS, an evolutionary approach to the spatial coordination of agents. AAMAS Fabien Flacher, Olivier Sigaud
2004	—	`conf`	Improving MACS Thanks to a Comparison with 2TBNs. GECCO (2) Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuillemin
2004	J	`jnl`	Rapid response of head direction cells to reorienting visual cues: a computational model. Neurocomputing Thomas Degris, Olivier Sigaud, Sidney I. Wiener, Angelo Arleo
2003	—	`ed.`	Anticipatory Behavior in Adaptive Learning Systems, Foundations, Theories, and Systems ABiALS Martin V. Butz, Olivier Sigaud, Pierre Gérard
2003	—	`conf`	Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. ABiALS Martin V. Butz, Olivier Sigaud, Pierre Gérard
2003	J	`jnl`	Coordination spatiale émergente par champs de potentie. Tech. Sci. Informatiques Fabien Flacher, Olivier Sigaud
2003	A	`conf`	Designing Efficient Exploration with MACS: Modules and Function Approximation. GECCO Pierre Gérard, Olivier Sigaud
2003	—	`conf`	Internal Models and Anticipations in Adaptive Learning Systems. ABiALS Martin V. Butz, Olivier Sigaud, Pierre Gérard
2002	A	`conf`	A Comparison Between ATNoSFERES And XCSM. GECCO Samuel Landau, Sébastien Picault, Olivier Sigaud, Pierre Gérard
2002	—	`conf`	Further Comparison between ATNoSFERES and XCSM. IWLCS Samuel Landau, Sébastien Picault, Olivier Sigaud, Pierre Gérard
2002	J	`jnl`	YACS: a new learning classifier system using anticipation. Soft Comput. Pierre Gérard, Wolfgang Stolzmann, Olivier Sigaud
2000	—	`conf`	Being Reactive by Exchanging Roles: An Empirical Study. Balancing Reactivity and Social Deliberation in Multi-Agent Systems Olivier Sigaud, Pierre Gérard
2000	—	`conf`	Using Classifier Systems as Adaptive Expert Systems for Control. IWLCS Olivier Sigaud, Pierre Gérard
2000	—	`conf`	YACS: Combining Dynamic Programming with Generalization in Classifier Systems. IWLCS Pierre Gérard, Olivier Sigaud