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Laëtitia Matignon
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2020 – today
- 2024
- [c25]Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan:
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning. AAMAS 2024: 2252-2254 - [c24]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning. CVPR 2024: 17847-17856 - [i10]Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan:
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning. CoRR abs/2401.17914 (2024) - [i9]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Task-conditioned adaptation of visual features in multi-task policy learning. CoRR abs/2402.07739 (2024) - 2023
- [j6]Arthur Aubret
, Laëtitia Matignon, Salima Hassas:
An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey. Entropy 25(2): 327 (2023) - [j5]Arthur Aubret
DisTop: Discovering a Topological Representation to Learn Diverse and Rewarding Skills. IEEE Trans. Cogn. Dev. Syst. 15(4): 1905-1915 (2023) - [c23]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Multi-Object Navigation with dynamically learned neural implicit representations. ICCV 2023: 10970-10981 - [c22]Rémy Chaput, Laëtitia Matignon, Mathieu Guillermin:
Learning to identify and settle dilemmas through contextual user preferences. ICTAI 2023: 474-479 - [i8]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot:
AutoNeRF: Training Implicit Scene Representations with Autonomous Agents. CoRR abs/2304.11241 (2023) - 2022
- [c21]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. IROS 2022: 1725-1732 - [i7]Arthur Aubret, Laëtitia Matignon, Salima Hassas:
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey. CoRR abs/2209.08890 (2022) - [i6]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Multi-Object Navigation with dynamically learned neural implicit representations. CoRR abs/2210.05129 (2022) - 2021
- [j4]Guillaume Bono
Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms. IEEE Trans. Intell. Transp. Syst. 22(12): 7804-7813 (2021) - [i5]Arthur Aubret, Laëtitia Matignon, Salima Hassas:
DisTop: Discovering a Topological representation to learn diverse and rewarding skills. CoRR abs/2106.03853 (2021) - [i4]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. CoRR abs/2107.06011 (2021) - 2020
- [c20]Arthur Aubret, Laëtitia Matignon, Salima Hassas:
ELSIM: End-to-End Learning of Reusable Skills Through Intrinsic Motivation. ECML/PKDD (2) 2020: 541-556 - [i3]Arthur Aubret, Laëtitia Matignon, Salima Hassas:
ELSIM: End-to-end learning of reusable skills through intrinsic motivation. CoRR abs/2006.12903 (2020)
2010 – 2019
- 2019
- [c19]Benoit Vuillemin
TSRuleGrowth: Mining Partially-Ordered Prediction Rules From a Time Series of Discrete Elements, Application to a Context of Ambient Intelligence. ADMA 2019: 119-134 - [c18]Antoine Gréa, Samir Aknine, Laëtitia Matignon:
HEART: Using Abstract Plans as a Guarantee of Downward Refinement in Decompositional Planning. ICAART (2) 2019: 514-522 - [i2]Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas:
TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d'une série temporelle d'éléments discrets, application dans un contexte d'intelligence ambiante. CoRR abs/1907.10054 (2019) - [i1]Arthur Aubret, Laëtitia Matignon, Salima Hassas:
A survey on intrinsic motivation in reinforcement learning. CoRR abs/1908.06976 (2019) - 2018
- [c17]Laëtitia Matignon, Olivier Simonin:
Multi-Robot Simultaneous Coverage and Mapping of Complex Scene - Comparison of Different Strategies. AAMAS 2018: 559-567 - [c16]Laëtitia Matignon, Olivier Simonin:
Multi-Robot Simultaneous Coverage and Mapping of Complex Scene. AAMAS 2018: 1826-1828 - [c15]Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin:
Sur le Gradient de la Politique pour les Systèmes Multi-Agents Coopératifs. JFPDA 2018 - [c14]Guillaume Bono
Cooperative Multi-agent Policy Gradient. ECML/PKDD (1) 2018: 459-476 - [c13]Fabrice Jumel, Jacques Saraydaryan, Raphael Leber, Laëtitia Matignon, Eric Lombardi, Christian Wolf, Olivier Simonin:
Context Aware Robot Architecture, Application to the RoboCup@Home Challenge. RoboCup 2018: 205-216 - 2017
- [c12]Laëtitia Matignon, Stephane D'Alu, Olivier Simonin:
Multi-robot human scene observation based on hybrid metric-topological mapping. ECMR 2017: 1-6 - 2016
- [c11]Jonathan Cohen, Laëtitia Matignon, Olivier Simonin:
Incremental and Adaptive Multi-Robot Mapping for Human Scene Observation. ICTAI 2016: 678-685 - 2015
- [c10]Olivier L. Georgeon
Modeling Biological Agents Beyond the Reinforcement-learning Paradigm. BICA 2015: 17-22 - 2012
- [j3]Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat:
Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems. Knowl. Eng. Rev. 27(1): 1-31 (2012) - [c9]Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib:
Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes. AAAI 2012: 2017-2023 - [c8]Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib:
Distributed value functions for the coordination of decentralized decision makers. AAMAS 2012: 1209-1210 - [c7]Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib:
Distributed value functions for multi-robot exploration. ICRA 2012: 1544-1550 - 2011
- [j2]Guillaume J. Laurent, Laëtitia Matignon, Nadine Le Fort-Piat:
The world of independent learners is not markovian. Int. J. Knowl. Based Intell. Eng. Syst. 15(1): 55-64 (2011) - 2010
- [j1]Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat, Yves-André Chapuis:
Designing Decentralized Controllers for Distributed-Air-Jet MEMS-Based Micromanipulators by Reinforcement Learning. J. Intell. Robotic Syst. 59(2): 145-166 (2010) - [c6]Laëtitia Matignon, Abir-Beatrice Karami, Abdel-Illah Mouaddib:
A Model for Verbal and Non-Verbal Human-Robot Collaboration. AAAI Fall Symposium: Dialog with Robots 2010 - [c5]Kahina Boutoustous, Guillaume J. Laurent, Eugen Dedu, Laëtitia Matignon, Julien Bourgeois
Distributed control architecture for smart surfaces. IROS 2010: 2018-2024
2000 – 2009
- 2009
- [c4]Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat:
Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning. IROS 2009: 3277-3283 - 2007
- [c3]Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat:
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams. IROS 2007: 64-69 - 2006
- [c2]Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat:
Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning. ICANN (1) 2006: 840-849 - [c1]Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat:
Improving Reinforcement Learning Speed for Robot Control. IROS 2006: 3172-3177
Coauthor Index
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last updated on 2024-10-07 02:36 CEST by the dblp team
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