Sigaud, Olivier

24 publications

NeurIPS 2025 Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier

ICML 2025 MAGELLAN: Metacognitive Predictions of Learning Progress Guide Autotelic LLM Agents in Large Goal Spaces Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer

ICML 2024 Bridging Environments and Language with Rendering Functions and Vision-Language Models Theo Cachet, Christopher R Dance, Olivier Sigaud

NeurIPSW 2024 SAC-GLAM: Improving Online RL for LLM Agents with Soft Actor-Critic and Hindsight Relabeling Loris Gaven, Thomas Carta, Clément Romac, Olivier Sigaud, Sylvain Lamprier, Pierre-Yves Oudeyer

ICML 2023 Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer

ICML 2023 Stein Variational Goal Generation for Adaptive Exploration in Multi-Goal Reinforcement Learning Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier

JAIR 2022 Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer

ICLRW 2022 Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization Thomas Pierrot, Valentin Macé, Felix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert

NeurIPS 2022 EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-Guided RL Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier

CoLLAs 2022 Learning Object-Centered Autotelic Behaviors with Graph Neural Networks Ahmed Akakzia, Olivier Sigaud

ICLRW 2022 Learning Object-Centered Autotelic Behaviors with Graph Neural Networks Ahmed Akakzia, Olivier Sigaud

NeurIPSW 2022 Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani

NeurIPS 2022 Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani

ICLR 2021 Grounding Language to Autonomously-Acquired Skills via Goal Generation Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud

ICMLW 2020 Language-Conditioned Goal Generation: A New Approach to Language Grounding in RL Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud

ICML 2019 CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas, Pierre Fournier, Mohamed Chetouani, Olivier Sigaud, Pierre-Yves Oudeyer

NeurIPS 2019 Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot, Guillaume Ligner, Scott E Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas

ICML 2018 GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer

ICLR 2018 Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer

IJCAI 2017 Tensor Based Knowledge Transfer Across Skill Categories for Robot Control Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud

ICML 2012 Path Integral Policy Improvement with Covariance Matrix Adaptation Freek Stulp, Olivier Sigaud

ECML-PKDD 2009 Considering Unseen States as Impossible in Factored Reinforcement Learning Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillemin, Christophe Meyer

UAI 2006 Chi-Square Tests Driven Method for Learning the Structure of Factored MDPs Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin

ICML 2006 Learning the Structure of Factored Markov Decision Processes in Reinforcement Learning Problems Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin