Matthieu GEIST
Publications
Publications
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A FastSLAM Approach Integrating Beamforming Maps for Ultrasound-based Robotic Inspection of Metal StructuresIEEE Robotics and Automation Letters, 2021 |
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Human Annotated Dialogues Dataset for Natural Conversational AgentsApplied Sciences, 2020, 10 (3), pp.762. ⟨10.3390/app10030762⟩ |
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Bridging the Gap Between Imitation Learning and Inverse Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems, 2017, 28 (8), pp.1814 - 1826. ⟨10.1109/TNNLS.2016.2543000⟩ |
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Soft-max boostingMachine Learning, 2015, 100 (2), pp.305-332. ⟨10.1007/s10994-015-5491-2⟩ |
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Approximate modified policy iteration and its application to the game of TetrisJournal of Machine Learning Research, 2015, 16, pp.1629−1676 |
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Recherche locale de politique dans un espace convexeRevue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2015, 29 (6), pp.685-704. ⟨10.3166/RIA.29.685-706⟩ |
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Off-policy Learning with Eligibility Traces: A SurveyJournal of Machine Learning Research, 2014, 15 (1), pp.289-333 |
Classification structurée pour l'apprentissage par renforcement inverseRevue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2013, 27 (2), pp.155-169. ⟨10.3166/ria.27.155-169⟩ |
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An algorithmic Survey of Parametric Value Function ApproximationIEEE Transactions on Neural Networks and Learning Systems, 2013, 24 (6), pp.845-867. ⟨10.1109/TNNLS.2013.2247418⟩ |
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A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the MathematicsJournal of Machine Learning Research, 2013, 14 (1), pp.625-628 |
A Comprehensive Reinforcement Learning Framework for Dialogue Management OptimisationIEEE Journal of Selected Topics in Signal Processing, 2012, 6 (8), pp.891-902. ⟨10.1109/JSTSP.2012.2229257⟩ |
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Sample-Efficient Batch Reinforcement Learning for Dialogue Management OptimizationACM - Transactions on Speech and Language Processing, 2011, 7 (3), pp.art. 7 (1-21). ⟨10.1145/1966407.1966412⟩ |
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Kalman Temporal DifferencesJournal of Artificial Intelligence Research, 2010, 39, pp.483-532 |
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Différences temporelles de Kalman: Cas déterministeRevue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2010, 24 (4), pp.423-443. ⟨10.3166/ria.24.423-443⟩ |
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From Supervised to Reinforcement Learning: a Kernel-based Bayesian Filtering FrameworkInternational Journal On Advances in Software, 2009, 2 (1), pp.101-116 |
Localisation, Cartographie et Calibration de la Dispersion pour l'Inspection Robotique de Structures en Métal par Ondes Guidées16ème Congrès Français d'Acoustique, CFA2022, Société Française d'Acoustique; Laboratoire de Mécanique et d'Acoustique, Apr 2022, Marseille, France |
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Show me the Way: Intrinsic Motivation from DemonstrationsAAMAS 2021 - 20th International Conference on Autonomous Agents and Multiagent Systems, May 2021, Virtual, United Kingdom |
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What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical StudyICLR 2021 - Ninth International Conference on Learning Representations, May 2021, Vienna / Virtual, Austria |
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Adversarially Guided Actor-CriticICLR 2021 - International Conference on Learning Representations, May 2021, Vienna / Virtual, Austria |
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Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description2020 IEEE International Conference on Robotics and Automation (ICRA), May 2020, Paris, France. pp.3032-3038, ⟨10.1109/ICRA40945.2020.9197529⟩ |
Modified Actor-CriticsAAMAS2020 - International Conference on Autonomous Agents and MultiAgent Systems, May 2020, virtual, New Zealand |
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CopyCAT: Taking Control of Neural Policies with Constant AttacksAAMAS 2020 - 19th International Conference on Autonomous Agents and Multi-Agent Systems, May 2020, Virtual, New Zealand |
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Monte-Carlo Localization on Metal Plates Based on Ultrasonic Guided WavesInternational Symposium on Experimental Robotics, Nov 2020, Malte, Malta |
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Self-Attentional Credit Assignment for Transfer in Reinforcement LearningIJCAI 2020 - 29th International Joint Conference on Artificial Intelligence, Jul 2020, Yokohama / Virtual, Japan |
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Primal Wasserstein Imitation LearningICLR 2021 - Ninth International Conference on Learning Representations, May 2021, Vienna / Virtual, Austria |
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Momentum in Reinforcement LearningAISTATS 2020 - 23rd International Conference on Artificial Intelligence and Statistics, Aug 2020, Palermo / Virtual, Italy |
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A Theory of Regularized Markov Decision ProcessesICML 2019 - Thirty-sixth International Conference on Machine Learning, Jun 2019, Long Island, United States |
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Importance Sampling for Deep System Identification19th International Conference on Advanced Robotics (ICAR), 2019, Belo Horizonte, Brazil. ⟨10.1109/ICAR46387.2019.8981590⟩ |
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Image-Based Text Classification using 2D Convolutional Neural Networks2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Aug 2019, Leicester, United Kingdom. pp.144-149, ⟨10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00066⟩ |
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Anderson acceleration for reinforcement learningEWRL 2018 - 4th European workshop on Reinforcement Learning, Oct 2018, Lille, France |
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Trajectory-control using deep system identification and model predictive control for drone control under uncertain load2018 22nd International Conference on System Theory, Control and Computing (ICSTCC), Oct 2018, Sinaia, Romania. ⟨10.1109/ICSTCC.2018.8540719⟩ |
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A Deep Learning Approach for Privacy Preservation in Assisted Living2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Mar 2018, Athens, Greece. pp.710-715, ⟨10.1109/PERCOMW.2018.8480247⟩ |
Faut-il minimiser le résidu de Bellman ou maximiser la valeur moyenne ?Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2017), Jul 2017, Caen, France |
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Real time degradation identification of UAV using machine learning techniquesInternational Conference on Unmanned Aircraft Systems (ICUAS), 2017, Miami, United States |
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Reconstruct & Crush NetworkAdvances in Neural Information Processing Systems, 2017, Long Beach, United States |
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Is the Bellman residual a bad proxy?NIPS 2017 - Advances in Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.1-13 |
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Human activity recognition using recurrent neural networks1st International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2017, Reggio, Italy. pp.267-274, ⟨10.1007/978-3-319-66808-6_18⟩ |
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Softened approximate policy iteration for Markov gamesICML 2016 - 33rd International Conference on Machine Learning, Jun 2016, New York City, United States |
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Score-based Inverse Reinforcement LearningInternational Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), May 2016, Singapore, Singapore |
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Batch Policy Iteration Algorithms for Continuous DomainsEuropean Workshop on Reinforcement Learning (EWRL), 2016, Barcelone, Spain |
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Inverse Reinforcement Learning in Relational DomainsInternational Joint Conferences on Artificial Intelligence, Jul 2015, Buenos Aires, Argentina |
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A multiplicative UCB strategy for Gamma rewardsEuropean Workshop on Reinforcement Learning, 2015, Lille, France |
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Imitation Learning Applied to Embodied Conversational Agents4th Workshop on Machine Learning for Interactive Systems (MLIS 2015), Jul 2015, Lille, France |
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Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy SearchECML, Sep 2014, Nancy, France. pp.35 - 50, ⟨10.1007/978-3-662-44845-8_3⟩ |
Quand l'optimalité locale implique une garantie globale : recherche locale de politique dans un espace convexe et algorithme d'itération sur les politiques conservatif vu comme une montée de gradient fonctionnel9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA'14), May 2014, Liège, Belgique |
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Boosted and Reward-regularized Classification for Apprenticeship LearningAAMAS 2014 : 13th International Conference on Autonomous Agents and Multiagent Systems, May 2014, Paris, France. pp.1249-1256 |
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Predicting when to laugh with structured classificationInterSpeech 2014, Sep 2014, Singapore, Singapore. pp.1786-1790 |
Méthode de minimisation du résidu de Bellman boostée qui tient compte des démonstrations expertes.9èmes Journées Francophones de Planification, Décision et Apprentissage (JFPDA'14), May 2014, Liège, Belgique |
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Boosted Bellman Residual Minimization Handling Expert DemonstrationsEuropean Conference, ECML PKDD 2014, Sep 2014, Nancy, France. pp.549-564, ⟨10.1007/978-3-662-44851-9_35⟩ |
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Difference of Convex Functions Programming for Reinforcement LearningAdvances in Neural Information Processing Systems (NIPS 2014), Dec 2014, Montreal, Canada |
Model-free POMDP optimisation of tutoring systems with echo-state networksSIGDial 2013, Aug 2013, Metz, France. pp.102-106 |
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Optimisation par essaims particulaires de stratégies de dialogueJournées Francophones de Plannification, Décision et Apprentissage (JFPDA), Jul 2013, Lille, France |
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Apprentissage par renforcement inverse en cascadant classification et régressionJournées Francophones de Plannification, Décision et Apprentissage (JFPDA), Jul 2013, Lille, France |
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Laugh-aware virtual agent and its impact on user amusementAAMAS '13, May 2013, Saint Paul, Minnesota, United States. pp.619-626 |
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Classification régularisée par la récompense pour l'Apprentissage par ImitationJournées Francophones de Plannification, Décision et Apprentissage (JFPDA), Jul 2013, Lille, France |
Learning from demonstrations: Is it worth estimating a reward function?1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013), Oct 2013, Princeton, New Jersey, United States |
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Around Inverse Reinforcement Learning and Score-based Classification1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013), Oct 2013, Princeton, New Jersey, United States |
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Apprentissage par démonstrations : vaut-il la peine d'estimer une fonction de récompense?Journées Francophones de Plannification, Décision et Apprentissage (JFPDA), Jul 2013, Lille, France |
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Learning from Demonstrations: Is It Worth Estimating a Reward Function?Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2013), Sep 2013, Prague, Czech Republic. pp.17-32, ⟨10.1007/978-3-642-40988-2_2⟩ |
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Particle Swarm Optimisation of Spoken Dialogue System StrategiesInterspeech 2013, Aug 2013, Lyon, France. pp.1-5 |
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Random Projections: a Remedy for Overfitting Issues in Time Series Prediction with Echo State NetworksICASSP 2013, May 2013, Vancouver, Canada. pp.3253-3257, ⟨10.1109/ICASSP.2013.6638259⟩ |
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A cascaded supervised learning approach to inverse reinforcement learningJoint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2013), Sep 2013, Prague, Czech Republic. pp.1-16, ⟨10.1007/978-3-642-40988-2_1⟩ |
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Un sélecteur de Dantzig pour l'apprentissage par différences temporellesJournées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 13 p |
Co-adaptation in Spoken Dialogue SystemsIWSDS 2012, Nov 2012, Paris, France. pp.1 |
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Monte-Carlo Swarm Policy SearchSymposium on Swarm Intelligence and Differential Evolution, Apr 2012, Zakopane, Poland. pp.75-83, ⟨10.1007/978-3-642-29353-5_9⟩ |
Optimisation d'un tuteur intelligent à partir d'un jeu de données fixéJEP 2012, Jun 2012, Grenoble, France. pp.241-248 |
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Optimisation de contrôleurs par essaim particulaireConférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. pp.1-14 |
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Inverse Reinforcement Learning through Structured ClassificationNIPS 2012, Dec 2012, Lake Tahoe, Nevada, United States. pp.1-9 |
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Off-policy Learning in Large-scale POMDP-based Dialogue SystemsICASSP 2012, Mar 2012, Kyoto, Japan. pp.4989-4992 |
Filtering of pathological ventricular rhythms during MRI scanningBSI2012, Jul 2012, Como, Italy. pp.97-100 |
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Clustering Behaviors Of Spoken Dialogue Systems UsersICASSP 2012, Mar 2012, Kyoto, Japan. pp.4981-4984 |
Approximations de l'Algorithme Itérations sur les Politiques ModifiéJournées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 1 p |
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Classification structurée pour l'apprentissage par renforcement inverseConférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. pp.1-16 |
Structured Classification for Inverse Reinforcement LearningEWRL 2012, Jun 2012, Edinburgh, United Kingdom. pp.1-14 |
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A Dantzig Selector Approach to Temporal Difference LearningICML-12, Jun 2012, Edinburgh, United Kingdom. pp.1399-1406 |
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Behavior Specific User Simulation in Spoken Dialogue Systems10th ITG Conference on Speech Communication, Sep 2012, Braunschweig, Germany. pp.1-4 |
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Approximate Modified Policy Iteration29th International Conference on Machine Learning - ICML 2012, Jun 2012, Edinburgh, United Kingdom |
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Regroupement non-supervisé d'utilisateurs par leur comportement pour les systèmes de dialogue parléJournées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 16 p |
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Apprentissage off-policy appliqué à un système de dialogue basé sur les PDMPORFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3 |
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Apprentissage par renforcement pour la personnalisation d'un logiciel d'enseignement des languesEIAH 2011, May 2011, Mons, Belgique. pp.1-5 |
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l1-penalized projected Bellman residualEuropean Wrokshop on Reinforcement Learning (EWRL 11), Sep 2011, Athens, Greece |
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Recursive Least-Squares Learning with Eligibility TracesEuropean Wrokshop on Reinforcement Learning (EWRL 11), Sep 2011, Athens, Greece |
Managing Uncertainty within the KTD FrameworkActive Learning and Experimental Design workshop in conjunction with AISTATS 2010, May 2010, Sardinia, Italy. pp.157-168 |
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Parametric value function approximation: A unified viewADPRL 2011, Apr 2011, Paris, France. pp.9-16, ⟨10.1109/ADPRL.2011.5967355⟩ |
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Optimization of a Tutoring System from a Fixed Set of DataSLaTE 2011, Aug 2011, Venice, Italy. pp.1-4 |
Performance evaluation for particle filtersFUSION 2011, Jul 2011, Chicago, United States. pp.1-7 |
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Uncertainty management for on-line optimisation of a POMDP-based large-scale spoken dialogue systemInterspeech 2011, Aug 2011, Florence, Italy. pp.1301-1304 |
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Apprentissage par imitation dans un cadre batch, off-policy et sans modèleJFPDA 2011, Jun 2011, Rouen, France. pp.1-9 |
Reducing the dimentionality of the reward space in the Inverse Reinforcement Learning problemMLASA 2011, Dec 2011, Honolulu, United States. pp.1-4 |
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Moindres carrés récursifs pour l'évaluation off-policy d'une politique avec traces d'éligibilité6ème Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes - JFPDA 2011, Jun 2011, Rouen, France |
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Kalman filtering & colored noises: the (autoregressive) moving-average caseMLASA 2011, Dec 2011, Honolulu, United States. pp.1-4 |
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Dynamic Neural Field Optimization using the Unscented Kalman FilterCCMB 2011, Apr 2011, Paris, France. 7 p., ⟨10.1109/CCMB.2011.5952113⟩ |
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Gestion de l'incertitude pour l'optimisation en ligne d'un gestionnaire de dialogues parlés à grande échelle basé sur les POMDPJFPDA 2011, Jun 2011, Rouen, France. pp.1-7 |
Batch, Off-policy and Model-free Apprenticeship LearningEWRL 2011, Sep 2011, Athens, Greece. pp.1-12 |
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Batch, Off-policy and Model-Free Apprenticeship LearningIJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT 2011), Jun 2011, Barcelona, Spain. 6 p |
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Sample Efficient On-line Learning of Optimal Dialogue Policies with Kalman Temporal DifferencesIJCAI 2011, Jul 2011, Barcelona, Spain. pp.1878-1883 |
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A Non-Parametric Approach to Approximate Dynamic ProgrammingICMLA 2011, Dec 2011, Honolulu, Hawaii, United States. pp.1-6 |
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User Simulation in Dialogue Systems using Inverse Reinforcement LearningInterspeech 2011, Aug 2011, Florence, Italy. pp.1025-1028 |
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Apprentissage par Renforcement Inverse pour la Simulation d'Utilisateurs dans les Systèmes de DialogueJFPDA 2011, Jun 2011, Rouen, France. pp.1-7 |
Statistically Linearized Recursive Least SquaresMLSP 2010, Aug 2010, Kittilä, Finland. pp.272-276, ⟨10.1109/MLSP.2010.5589236⟩ |
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Astuce du Noyau & Quantification VectorielleRFIA'10, Jan 2010, Caen, France. 8 p |
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Statistically Linearized Least-Squares Temporal Differences5èmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA'10), Jun 2010, Besançon, France |
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Sparse Approximate Dynamic Programming for Dialog ManagementSIGDial 2010, Sep 2010, Tokyo, Japan. pp.107-115 |
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Revisiting natural actor-critics with value function approximationBNAIC 2010, Oct 2010, Luxembourg, Luxembourg. 1 page |
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Statistically linearized least-squares temporal differencesICUMT 2010, Oct 2010, Moscow, Russia. pp.450-457, ⟨10.1109/ICUMT.2010.5676598⟩ |
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Revisiting Natural Actor-Critics with Value Function ApproximationMDAI 2010, Oct 2010, Perpignan, France. pp.207-218, ⟨10.1007/978-3-642-16292-3_21⟩ |
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Managing Uncertainty within Value Function Approximation in Reinforcement LearningActive Learning and Experimental Design workshop (collocated with AISTATS 2010), May 2010, Sardinia, Italy |
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Revisiting natural actor-critics with value function approximation5èmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA'10), Jun 2010, Besançon, France |
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Statistical Linearization for Value Function Approximation in Reinforcement LearningNIPS Workshop on Learning and Planning from Batch Time Series Data (OPT 2010), Dec 2010, Vancouver, Canada. pp.1-6 |
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Gestion de l'incertitude dans le cadre de l'approximation de la fonction de valeur pour l'apprentissage par renforcementCAP 2010, May 2010, Clermont-Ferrand, France. pp.101-112 |
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Eligibility Traces through Colored NoisesICUMT 2010, Oct 2010, Moscow, Russia. pp.458-465, ⟨10.1109/ICUMT.2010.5676597⟩ |
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Optimizing Spoken Dialogue Management with Fitted Value IterationInterspeech 2010, Sep 2010, Makuhari, Japan. pp.86-89 |
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Différences Temporelles de KalmanJFPDA 2009, Jun 2009, Paris, France. (20 p.) |
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Différences Temporelles de Kalman : le cas stochastiqueJFPDA 2009, Jun 2009, Paris, France. (13 p.) |
Tracking in Reinforcement Learning16th International Conference on Neural Information Processing - ICONIP 2009, Dec 2009, Bangkok, Thailand. pp.502-511, ⟨10.1007/978-3-642-10677-4_57⟩ |
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Kalman Temporal Differences: the deterministic caseADPRL 2009, Mar 2009, Nashville, TN, United States. pp.185-192, ⟨10.1109/ADPRL.2009.4927543⟩ |
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Kernelizing Vector Quantization AlgorithmsESANN'2009, Apr 2009, Bruges, Belgium. pp.541-546 |
Kalman Temporal Differences: Uncertainty and Value Function ApproximationNIPS Workshop on Model Uncertainty and Risk in Reinforcement Learning, Dec 2008, Vancouver, Canada |
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Online Bayesian Kernel Regression from Nonlinear Mapping of ObservationsMLSP 2008, Oct 2008, Cancun, Mexico. pp.309-314, ⟨10.1109/MLSP.2008.4685498⟩ |
Kalman Temporal DifferencesCross-border workshop of PhD students in fundamental and applied mathematics (LMAM - UPVM), Dec 2008, Metz, France |
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Bayesian Reward FilteringEWRL 2008, Jun 2008, Lille, France. pp.96-109, ⟨10.1007/978-3-540-89722-4_8⟩ |
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A Sparse Nonlinear Bayesian Online Kernel RegressionAdvComp 2008, Oct 2008, Valencia, Spain. pp.199-204, ⟨10.1109/ADVCOMP.2008.7⟩ |
Filtrage bayésien de la récompenseJFPDA 2008, Jun 2008, Metz, France. pp.113-122 |
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Conférence Nationale d’Intelligence Artificielle Année 2017Association Française pour l'Intelligence Artificielle, 2017 |
Convolutional and Recurrent Neural Networks for Activity Recognition in Smart EnvironmentA. Holzinger; R. Goebel; M. Ferri; V. Palade. Towards Integrative Machine Learning and Knowledge Extraction, 10344, springer, pp.194-205, 2017, Lecture Notes in Computer Science |
PERIODIC ARTIFACT REDUCTION FROM BIOMEDICAL SIGNALSFrance, Patent n° : WO/2013/052944. 2013 |
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Apprentissage off-policy appliqué à un système de dialogue basé sur les PDMPOActes du 18ème congrès francophone sur la Reconnaissance de Formes et l'Intelligence Artificielle (RFIA 2012), 2012, pp.1-8 |
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Filling Gaps in Micro-Meteorological Data2020 |
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Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications2020 |
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A Comprehensive Benchmark of Neural Networks for System Identification2019 |
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Difference of Convex Functions Programming Applied to Control with Expert Data2017 |
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Policy Search: Any Local Optimum Enjoys a Global Performance Guarantee2013 |
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Off-policy Learning with Eligibility Traces: A Survey[Research Report] 2013, pp.43 |
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Approximate Modified Policy Iteration[Research Report] 2012 |
Online adaptation of dialogue systems2011 |
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Optimisation des chaînes de production dans l'industrie sidérurgique : une approche statistique de l'apprentissage par renforcementMathématiques [math]. Université Paul Verlaine - Metz, 2009. Français. ⟨NNT : 2009METZ023S⟩ |
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Contrôle optimal et apprentissage automatique, applications aux interactions homme-machineMachine Learning [stat.ML]. Université de Lille 1 - Sciences et Technologies, 2016 |