Olivier Sigaud
Orcid: 0000-0002-8544-0229
According to our database1,
Olivier Sigaud
authored at least 128 papers
between 2000 and 2024.
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Bibliography
2024
2023
ACM Trans. Evol. Learn. Optim., September, 2023
Proceedings of the 34th Conference on l'Interaction Humain-Machine, 2023
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
2022
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey.
J. Artif. Intell. Res., 2022
Neurocomputing, 2022
CoRR, 2022
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning.
CoRR, 2022
Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems.
CoRR, 2022
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Conference on Lifelong Learning Agents, 2022
2021
CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments.
IEEE Trans. Cogn. Dev. Syst., 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
Task Feasibility Maximization Using Model-Free Policy Search and Model-Based Whole-Body Control.
Frontiers Robotics AI, 2020
CoRR, 2020
CoRR, 2020
DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Auton. Agents Multi Agent Syst., 2020
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020
Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
The problem with DDPG: understanding failures in deterministic environments with sparse rewards.
CoRR, 2019
CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms.
Proceedings of the Reproducibility in Machine Learning, 2019
2018
The CoDyCo Project Achievements and Beyond: Toward Human Aware Whole-Body Controllers for Physical Human Robot Interaction.
IEEE Robotics Autom. Lett., 2018
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects.
Frontiers Robotics AI, 2018
Frontiers Neurorobotics, 2018
CoRR, 2018
CoRR, 2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments.
CoRR, 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms.
Proceedings of the Journées Francophone Planification, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
CoRR, 2016
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
2015
Deep unsupervised network for multimodal perception, representation and classification.
Robotics Auton. Syst., 2015
Proceedings of the Social Robotics - 7th International Conference, 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations.
PLoS Comput. Biol., 2014
Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement.
Frontiers Neurorobotics, 2014
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
Multiple task optimization using dynamical movement primitives for whole-body reactive control.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014
2013
Rev. d'Intelligence Artif., 2013
Apprentissage et optimisation de politiques pour un bras articulé actionné par des muscles.
Rev. d'Intelligence Artif., 2013
Paladyn J. Behav. Robotics, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013
2012
Paladyn J. Behav. Robotics, 2012
Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task?
Proceedings of the From Animals to Animats 12, 2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Perception and human interaction for developmental learning of objects and affordances.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012
Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012
2011
Robotics Auton. Syst., 2011
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011
Learning cost-efficient control policies with XCSF: generalization capabilities and further improvement.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010
Proceedings of the From Animals to Animats 11, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs.
Rev. d'Intelligence Artif., 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Control of redundant robots using learned models: An operational space control approach.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
2008
A comparison between ATNoSFERES and Learning Classifier Systems on non-Markov problems.
Inf. Sci., 2008
Compacting a Rule Base into an and/or Diagram for Game AI.
Proceedings of the GAMEON'2008, 2008
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008
From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008
2007
2006
Rev. d'Intelligence Artif., 2006
Proceedings of the UAI '06, 2006
Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems.
Proceedings of the Machine Learning, 2006
2005
Combining latent learning with dynamic programming in the modular anticipatory classifier system.
Eur. J. Oper. Res., 2005
Proceedings of the Learning Classifier Systems, International Workshops, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005
2004
Rapid response of head direction cells to reorienting visual cues: a computational model.
Neurocomputing, 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
2003
Tech. Sci. Informatiques, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003
Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2003
2002
Proceedings of the Learning Classifier Systems, 5th International Workshop, 2002
A Comparison Between ATNoSFERES And XCSM.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
2000
Proceedings of the Advances in Learning Classifier Systems, Third International Workshop, 2000
Proceedings of the Advances in Learning Classifier Systems, Third International Workshop, 2000
Proceedings of the Balancing Reactivity and Social Deliberation in Multi-Agent Systems, 2000