Olivier Sigaud

发表

On-line regression algorithms for learning mechanical models of robots: A survey

Olivier Sigaud, Camille Salaün, Vincent Padois, 2011, Robotics Auton. Syst..

Social-Task Learning for HRI

Mohamed Chetouani, Olivier Sigaud, Anis Najar, 2015, ICSR.

CEM-RL: Combining evolutionary and gradient-based methods for policy search pdf

Olivier Sigaud, Aloïs Pourchot, Olivier Sigaud, 2018, ICLR.

ATNoSFERES revisited pdf

Marc Schoenauer, Olivier Sigaud, Samuel Landau, 2005, GECCO '05.

Designing Efficient Exploration with MACS: Modules and Function Approximation

Olivier Sigaud, Pierre Gérard, 2003, GECCO.

From humans to humanoids: The optimal control framework

Olivier Sigaud, Serena Ivaldi, Francesco Nori, 2012, Paladyn J. Behav. Robotics.

2. Reinforcement Learning

Olivier Sigaud, Frédérick Garcia, Olivier Sigaud, 2013 .

BASC, a Bottom-up Approach to automated design of Spatial Coordination

Olivier Sigaud, Fabien Flacher, Olivier Sigaud, 2004 .

Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs

Olivier Sigaud, Thomas Degris, Pierre-Henri Wuillemin, 2009, Rev. d'Intelligence Artif..

Les systèmes de classeurs

Olivier Sigaud, Olivier Sigaud, 2007, Rev. d'Intelligence Artif..

A Comparison Between ATNoSFERES And XCSM

Olivier Sigaud, Sébastien Picault, Samuel Landau, 2002, GECCO.

Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task?

Mehdi Khamassi, Olivier Sigaud, Jean Bellot, 2012, SAB.

Anticipatory Learning Classifier Systems and Factored Reinforcement Learning

Martin V. Butz, Olivier Sigaud, Olga Kozlova, 2009, ABiALS.

TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs

Olivier Sigaud, Olga Kozlova, Christophe Meyer, 2010, SAB.

The CoDyCo Project Achievements and Beyond: Toward Human Aware Whole-Body Controllers for Physical Human Robot Interaction

Gabriele Nava, Claudia Latella, Daniele Pucci, 2018, IEEE Robotics and Automation Letters.

Gated Autoencoders with Tied Input Weights

Olivier Sigaud, Alain Droniou, 2013, ICML.

Exploiting Additive Structure in Factored MDPs for Reinforcement Learning

Olivier Sigaud, Thomas Degris, Pierre-Henri Wuillemin, 2008, EWRL.

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]

Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, 2009, ABiALS.

Deep unsupervised network for multimodal perception, representation and classification

Olivier Sigaud, Serena Ivaldi, Alain Droniou, 2015, Robotics Auton. Syst..

Importance mixing: Improving sample reuse in evolutionary policy search methods pdf

Olivier Sigaud, Aloïs Pourchot, Nicolas Perrin, 2018, ArXiv.

YACS: a new learning classifier system using anticipation

Olivier Sigaud, Pierre Gérard, Wolfgang Stolzmann, 2002, Soft Comput..

Autonomous online learning of velocity kinematics on the iCub: A comparative study

Olivier Sigaud, Vincent Padois, Serena Ivaldi, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

XCSF with local deletion: preventing detrimental forgetting

Martin V. Butz, Olivier Sigaud, 2011, GECCO '11.

Robot Skill Learning: From Reinforcement Learning to Evolution Strategies

Olivier Sigaud, Freek Stulp, F. Stulp, 2013, Paladyn J. Behav. Robotics.

Using XCS to build adaptive agents

Olivier Sigaud, Zahia Guessoum, Lilia Rejeb, 2004 .

Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations

Mehdi Khamassi, Olivier Sigaud, Florian Lesaint, 2014, PLoS Comput. Biol..

Further Comparison between ATNoSFERES and XCSM

Olivier Sigaud, Sébastien Picault, Samuel Landau, 2002, IWLCS.

Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach

Alain Micaelli, Olivier Sigaud, Benoit Libeau, 2009, 2009 IEEE International Conference on Robotics and Automation.

Learning a repertoire of actions with deep neural networks

Olivier Sigaud, Serena Ivaldi, Alain Droniou, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

GACS : une approche ascendante pour la coordination spatiale

Olivier Sigaud, Fabien Flacher, Olivier Sigaud, 2006, Rev. d'Intelligence Artif..

Compacting a Rule Base into an and/or Diagram for Game AI

Olivier Sigaud, Samuel Manier, 2008, GAMEON.

Function approximation with LWPR and XCSF: a comparative study

Martin V. Butz, Olivier Sigaud, Patrick O. Stalph, 2012, Evol. Intell..

Accuracy-based Curriculum Learning in Deep Reinforcement Learning pdf

Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud, 2018, ArXiv.

Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement

Mohamed Chetouani, Olivier Sigaud, Serena Ivaldi, 2014, Front. Neurorobot..

Gated networks: an inventory pdf

Olivier Sigaud, David Filliat, Freek Stulp, 2015, ArXiv.

Learning Compositional Neural Programs with Recursive Tree Search and Planning

Nando de Freitas, Olivier Sigaud, Scott Reed, 2019, NeurIPS.

YACS: Combining Dynamic Programming with Generalization in Classifier Systems

Olivier Sigaud, Pierre Gérard, Olivier Sigaud, 2000, IWLCS.

CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments pdf

Mohamed Chetouani, Olivier Sigaud, Pierre Fournier, 2019, IEEE Transactions on Cognitive and Developmental Systems.

Considering Unseen States as Impossible in Factored Reinforcement Learning

Olivier Sigaud, Olga Kozlova, Christophe Meyer, 2009, ECML/PKDD.

Introduction à la modélisation orientée objets avec UML

Olivier Sigaud, Olivier Sigaud, 2006 .

XCSF with local deletion: preventing detrimental forgetting

Martin V. Butz, Olivier Sigaud, 2012, Evol. Intell..

Policy Improvement Methods: Between Black-Box Optimization and Episodic Reinforcement Learning

Olivier Sigaud, Freek Stulp, F. Stulp, 2012 .

Learning the velocity kinematics of ICUB for model-based control: XCSF versus LWPR

Olivier Sigaud, Camille Salaün, Vincent Padois, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion

Olivier Sigaud, Camille Salaün, Vincent Padois, 2009, ABiALS.

Les systèmes de classeurs : Un état de l'art

Olivier Sigaud, 2007 .

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription

Richard J. Duro, Olivier Sigaud, David Filliat, 2018, Front. Neurorobot..

How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments pdf

Pierre-Yves Oudeyer, Olivier Sigaud, Cédric Colas, 2018, ArXiv.

The Successor Representation as a model of behavioural flexibility

Olivier Sigaud, Alexis Ducarouge, Olivier Sigaud, 2017 .

CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud, 2018, ICML.

A comparative study: function approximation with LWPR and XCSF

Martin V. Butz, Olivier Sigaud, Patrick O. Stalph, 2010, GECCO '10.

Internal Models and Anticipations in Adaptive Learning Systems

Martin V. Butz, Olivier Sigaud, Pierre Gérard, 2003, ABiALS.

From Motor Learning to Interaction Learning in Robots

Olivier Sigaud, Jan Peters, Jan Peters, 2010, From Motor Learning to Interaction Learning in Robots.

Multimodal People Engagement with iCub

Mohamed Chetouani, Olivier Sigaud, Serena Ivaldi, 2012, BICA.

Multiple task optimization using dynamical movement primitives for whole-body reactive control

Olivier Sigaud, Vincent Padois, Ryan Lober, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning pdf

Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, 2018, ICML 2019.

The use of roles in a multiagent adaptive simulation

Olivier Sigaud, Pierre Gérard, 2000 .

Combining artificial curiosity and tutor guidance for environment exploration

Mohamed Chetouani, Olivier Sigaud, Pierre Fournier, 2017 .

Investigating Generalisation in Continuous Deep Reinforcement Learning pdf

Olivier Sigaud, Timothy M. Hospedales, Freek Stulp, 2019, ArXiv.

Introduction à la programmation orientée objets

Olivier Sigaud, 2006 .

Apprentissage par renforcement hirarchique dans les MDP factoriss

Olivier Sigaud, Olga Kozlova, Christophe Meyer, 2006 .

Actor-critic versus direct policy search: a comparison based on sample complexity pdf

Olivier Sigaud, Arnaud de Froissard de Broissia, Olivier Sigaud, 2016, ArXiv.

Markov Decision Processes in Artificial Intelligence

Olivier Buffet, Olivier Sigaud, O. Buffet, 2010 .

Socially Guided XCS: Using Teaching Signals to Boost Learning

Mohamed Chetouani, Olivier Sigaud, Anis Najar, 2015, GECCO.

Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements

Jan Babič, Olivier Sigaud, Luka Peternel, 2017, Front. Hum. Neurosci..

Using Classifier Systems as Adaptive Expert Systems for Control

Olivier Sigaud, Pierre Gérard, Olivier Sigaud, 2000, IWLCS.

Apprentissage et optimisation de politiques pour un bras articulé actionné par des muscles

Lionel Rigoux, Olivier Sigaud, Didier Marin, 2013, Rev. d'Intelligence Artif..

Tensor Based Knowledge Transfer Across Skill Categories for Robot Control

Olivier Sigaud, Timothy M. Hospedales, Freek Stulp, 2017, IJCAI.

Learning classifier systems: a survey

Stewart W. Wilson, Olivier Sigaud, Olivier Sigaud, 2007, Soft Comput..

Markov decision processes in artificial intelligence : MDPs, beyond MDPs and applications

Olivier Buffet, Olivier Sigaud, 2010 .

Non-linear regression algorithms for motor skill acquisition: a comparison

Olivier Sigaud, Freek Stulp, Thibaut Munzer, 2014 .

Factored Markov Decision Processes

Olivier Sigaud, Thomas Degris, 2013 .

Object Learning Through Active Exploration

Pierre-Yves Oudeyer, Olivier Sigaud, Vincent Padois, 2014, IEEE Transactions on Autonomous Mental Development.

First-order and second-order variants of the gradient descent: a unified framework pdf

Olivier Sigaud, Thomas Pierrot, Nicolas Perrin, 2018, ArXiv.

Anticipatory Behavior in Adaptive Learning Systems

Martin V. Butz, Olivier Sigaud, Pierre Gérard Eds, 2003, Lecture Notes in Computer Science.

Learning cost-efficient control policies with XCSF: generalization capabilities and further improvement

Lionel Rigoux, Olivier Sigaud, Jérémie Decock, 2011, GECCO '11.

Adaptation de la matrice de covariance pour l'apprentissage par renforcement direct

Olivier Sigaud, Freek Stulp, 2013, Rev. d'Intelligence Artif..

Policy Search in Continuous Action Domains: an Overview

Olivier Sigaud, Freek Stulp, F. Stulp, 2018, Neural Networks.

Combining Anticipation and Dynamic Programming in Classifier Systems

Olivier Sigaud, Pierre Gérard, 2000 .

Chi-square Tests Driven Method for Learning the Structure of Factored MDPs pdf

Olivier Sigaud, Thomas Degris, Pierre-Henri Wuillemin, 2006, UAI.

An Experimental Comparison Between ATNoSFERES and ACS

Olivier Sigaud, Sébastien Picault, Samuel Landau, 2005, IWLCS.

GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms

Pierre-Yves Oudeyer, Olivier Sigaud, Cédric Colas, 2017, ICML.

A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms pdf

Pierre-Yves Oudeyer, Olivier Sigaud, Cédric Colas, 2019, RML@ICLR.

Coordination spatiale émergente par champs de potentie

Olivier Sigaud, Fabien Flacher, Olivier Sigaud, 2003, Tech. Sci. Informatiques.

Path Integral Policy Improvement with Covariance Matrix Adaptation pdf

Olivier Sigaud, Freek Stulp, F. Stulp, 2012, ICML.

Learning compact parameterized skills with a single regression

Olivier Sigaud, Serena Ivaldi, Gennaro Raiola, 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

Training a robot with evaluative feedback and unlabeled guidance signals

Mohamed Chetouani, Olivier Sigaud, Anis Najar, 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Adding a generalization mechanism to YACS

Olivier Sigaud, Pierre Gérard, Olivier Sigaud, 2001 .

Spatial coordination through social potential fields and genetic algorithms

Olivier Sigaud, Fabien Flacher, Olivier Sigaud, 2002 .

Learning the structure of Factored Markov Decision Processes in reinforcement learning problems

Olivier Sigaud, Thomas Degris, Pierre-Henri Wuillemin, 2006, ICML.

GACS, an evolutionary approach to the spatial coordination of agents

Olivier Sigaud, Fabien Flacher, 2005, AAMAS '05.

Interactively shaping robot behaviour with unlabeled human instructions

Mohamed Chetouani, Olivier Sigaud, Anis Najar, 2019, Autonomous Agents and Multi-Agent Systems.

Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems

Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, 2007, SAB ABiALS.

Control of redundant robots using learned models: An operational space control approach

Olivier Sigaud, Camille Salaün, Vincent Padois, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning postures through sensorimotor training: a human simulation case study

Lionel Rigoux, Olivier Sigaud, Cnrs Fre, 2007 .

Corrigendum: Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements

Jan Babič, Olivier Sigaud, Luka Peternel, 2018, Front. Hum. Neurosci..

Rapid response of head direction cells to reorienting visual cues: a computational model

Angelo Arleo, Olivier Sigaud, Thomas Degris, 2004, Neurocomputing.

Improving MACS Thanks to a Comparison with 2TBNs

Olivier Sigaud, Pierre-Henri Wuillemin, Thierry Gourdin, 2004, GECCO.

Optimizing Task Feasibility using Model-Free Policy Search and Model-Based Whole-Body Control

Gabriele Nava, Daniele Pucci, Olivier Sigaud, 2017 .

A Michigan style architecture for learning finite state controllers: a first step

Olivier Sigaud, Samuel Landau, 2004 .

Being Reactive by Exchanging Roles: An Empirical Study

Olivier Sigaud, Pierre Gérard, Olivier Sigaud, 2000, Balancing Reactivity and Social Deliberation in Multi-Agent Systems.

Learning Forward Models for the Operational Space Control of Redundant Robots

Olivier Sigaud, Camille Salaün, Vincent Padois, 2010, From Motor Learning to Interaction Learning in Robots.

Offline Reinforcement Learning Hands-On pdf

Olivier Sigaud, Alexandre Laterre, Karim Beguir, 2020, ArXiv.

Markov Decision Processes in Artificial Intelligence: Sigaud/Markov Decision Processes in Artificial Intelligence

Olivier Buffet, Olivier Sigaud, O. Buffet, 2013 .

Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior

Martin V. Butz, Olivier Sigaud, Pierre Gérard, 2003, ABiALS.

Efficient reinforcement learning for humanoid whole-body control

Olivier Sigaud, Vincent Padois, Ryan Lober, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Towards Deep Developmental Learning

Olivier Sigaud, Alain Droniou, Olivier Sigaud, 2016, IEEE Transactions on Cognitive and Developmental Systems.

From Motor Learning to Interaction Learning in Robots

Olivier Sigaud, Jan Peters, Jan Peters, 2010, From Motor Learning to Interaction Learning in Robots.

Variance modulated task prioritization in Whole-Body Control

Olivier Sigaud, Vincent Padois, Ryan Lober, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects

Olivier Sigaud, Alban Laflaquière, Nicolas Le Hir, 2018, Front. Robot. AI.

From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems

Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, 2008, ABiALS.

Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration pdf

Pierre-Yves Oudeyer, Olivier Sigaud, Sébastien Forestier, 2018, ICLR.

A comparison between ATNoSFERES and Learning Classifier Systems on non-Markov problems

Olivier Sigaud, Samuel Landau, Olivier Sigaud, 2008, Inf. Sci..

Many regression algorithms, one unified model: A review

Olivier Sigaud, Freek Stulp, F. Stulp, 2015, Neural Networks.

Décision et planification dans l'incertain

Olivier Sigaud, Frédéric Garcia, Patrice Perny, 2006 .

Anticipation of Periodic Movements in Real Time 3D Environments

Philippe Codognet, Olivier Sigaud, Vincent Labbé, 2004 .

Apprentissage par renforcement indirect dans les systèmes de classeurs

Olivier Sigaud, Pierre Gérard, 2003 .

The anticipatory construction of reality as a central concern for psychology and robotics

Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, 2013 .

Automatisme et subjectivité : l'anticipation au coeur de l'expérience

Olivier Sigaud, 2002 .