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ORCIDPierre-Yves Oudeyer
Person information
- affiliation: INRIA Bordeaux, France
- affiliation: Ensta-ParisTech, France
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2020 – today
- 2023
[j48]Cécile Mazon
, Benjamin Clément, Didier Roy, Pierre-Yves Oudeyer, Hélène Sauzéon:
Pilot study of an intervention based on an intelligent tutoring system (ITS) for instructing mathematical skills of students with ASD and/or ID. Educ. Inf. Technol. 28(8): 9325-9354 (2023)- [j47]Olivier Sigaud, Ahmed Akakzia, Hugo Caselles-Dupré, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani:
Toward Teachable Autotelic Agents. IEEE Trans. Cogn. Dev. Syst. 15(3): 1070-1084 (2023) - [j46]Grgur Kovac, Adrien Laversanne-Finot, Pierre-Yves Oudeyer:
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 15(3): 1396-1407 (2023) - [c95]Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Hélène Sauzéon, Pierre-Yves Oudeyer:
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation. ACL (Findings) 2023: 12952-12965 - [c94]Rania Abdelghani, Edith Law, Chloé Desvaux, Pierre-Yves Oudeyer, Hélène Sauzéon:
Interactive environments for training children's curiosity through the practice of metacognitive skills : a pilot study. IDC 2023: 495-501 - [c93]Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer:
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. ICML 2023: 3676-3713 - [c92]Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer:
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. IUI Companion 2023: 75-78 - [i75]Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer:
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. CoRR abs/2302.02662 (2023) - [i74]Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer:
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld. CoRR abs/2302.05244 (2023) - [i73]Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer:
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. CoRR abs/2304.10548 (2023) - [i72]Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté:
Augmenting Autotelic Agents with Large Language Models. CoRR abs/2305.12487 (2023) - [i71]Grgur Kovac, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey, Pierre-Yves Oudeyer:
Large Language Models as Superpositions of Cultural Perspectives. CoRR abs/2307.07870 (2023) - [i70]Grgur Kovac, Rémy Portelas, Peter Ford Dominey, Pierre-Yves Oudeyer:
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents. CoRR abs/2307.07871 (2023) - [i69]Mayalen Etcheverry, Michael Levin, Clément Moulin-Frier, Pierre-Yves Oudeyer:
SBMLtoODEjax: efficient simulation and optimization of ODE SBML models in JAX. CoRR abs/2307.08452 (2023) - 2022
- [j45]Sébastien Mick, Arnaud Badets, Pierre-Yves Oudeyer, Daniel Cattaert, Aymar de Rugy:
Biological Plausibility of Arm Postures Influences the Controllability of Robotic Arm Teleoperation. Hum. Factors 64(2): 372-384 (2022) - [j44]Rania Abdelghani, Pierre-Yves Oudeyer, Edith Law, Catherine de Vulpillières, Hélène Sauzéon:
Conversational agents for fostering curiosity-driven learning in children. Int. J. Hum. Comput. Stud. 167: 102887 (2022) - [j43]Jessy Ceha, Edith Law, Dana Kulic, Pierre-Yves Oudeyer, Didier Roy:
Identifying Functions and Behaviours of Social Robots for In-Class Learning Activities: Teachers' Perspective. Int. J. Soc. Robotics 14(3): 747-761 (2022) - [j42]Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer:
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey. J. Artif. Intell. Res. 74: 1159-1199 (2022) - [j41]Sébastien Forestier, Rémy Portelas, Yoan Mollard, Pierre-Yves Oudeyer:
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning. J. Mach. Learn. Res. 23: 152:1-152:41 (2022) - [j40]Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Language and culture internalization for human-like autotelic AI. Nat. Mac. Intell. 4(12): 1068-1076 (2022) - [c91]Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher Pal, Pierre-Yves Oudeyer:
Learning to Guide and to be Guided in the Architect-Builder Problem. ICLR 2022 - [c90]Yoann Lemesle, Masataka Sawayama, Guillermo Valle Pérez, Maxime Adolphe, Hélène Sauzéon, Pierre-Yves Oudeyer:
Language-biased image classification: evaluation based on semantic representations. ICLR 2022 - [c89]Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing:
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language. ICML 2022: 14073-14093 - [c88]Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier:
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. NeurIPS 2022 - [i68]Yoann Lemesle, Masataka Sawayama, Guillermo Valle Pérez, Maxime Adolphe, Hélène Sauzéon, Pierre-Yves Oudeyer:
Evaluating language-biased image classification based on semantic representations. CoRR abs/2201.11014 (2022) - [i67]Rania Abdelghani, Pierre-Yves Oudeyer, Edith Law, Catherine de Vulpillières, Hélène Sauzéon:
Conversational agents for fostering curiosity-driven learning in children. CoRR abs/2204.03546 (2022) - [i66]Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing:
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language. CoRR abs/2205.06111 (2022) - [i65]Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Vygotskian Autotelic Artificial Intelligence: Language and Culture Internalization for Human-Like AI. CoRR abs/2206.01134 (2022) - [i64]Eleni Nisioti, Mateo Mahaut, Pierre-Yves Oudeyer, Ida Momennejad, Clément Moulin-Frier:
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS. CoRR abs/2206.05060 (2022) - [i63]Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud:
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. CoRR abs/2206.09674 (2022) - [i62]Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer:
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents. CoRR abs/2207.04118 (2022) - [i61]Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer:
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation. CoRR abs/2209.11000 (2022) - [i60]Yoann Lemesle, Tristan Karch, Romain Laroche, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Emergence of Shared Sensory-motor Graphical Language from Visual Input. CoRR abs/2210.06468 (2022) - [i59]Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Hélène Sauzéon, Pierre-Yves Oudeyer:
GPT-3-driven pedagogical agents for training children's curious question-asking skills. CoRR abs/2211.14228 (2022) - [i58]Erwan Plantec, Gautier Hamon, Mayalen Etcheverry, Pierre-Yves Oudeyer, Clément Moulin-Frier, Bert Wang-Chak Chan:
Flow Lenia: Mass conservation for the study of virtual creatures in continuous cellular automata. CoRR abs/2212.07906 (2022) - [i57]James M. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, Sho Tsuji, Stefan Stojanov, Ngoc Anh Thai:
Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422). Dagstuhl Reports 12(10): 143-165 (2022) - 2021
- [j39]Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer:
SpatialSim: Recognizing Spatial Configurations of Objects With Graph Neural Networks. Frontiers Artif. Intell. 4: 782081 (2021) - [j38]Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague:
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. J. Artif. Intell. Res. 71: 479-519 (2021) - [j37]Manfred Eppe, Pierre-Yves Oudeyer:
Intelligent Behavior Depends on the Ecological Niche. Künstliche Intell. 35(1): 103-108 (2021) - [j36]Guillermo Valle Pérez, Gustav Eje Henter, Jonas Beskow, Andre Holzapfel, Pierre-Yves Oudeyer, Simon Alexanderson:
Transflower: probabilistic autoregressive dance generation with multimodal attention. ACM Trans. Graph. 40(6): 195:1-195:14 (2021) - [c87]Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud:
Grounding Language to Autonomously-Acquired Skills via Goal Generation. ICLR 2021 - [c86]Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL. ICML 2021: 9052-9063 - [c85]Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Grounding Spatio-Temporal Language with Transformers. NeurIPS 2021: 5236-5249 - [i56]Manfred Eppe, Pierre-Yves Oudeyer:
Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments. CoRR abs/2103.06769 (2021) - [i55]Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL. CoRR abs/2103.09815 (2021) - [i54]Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. CoRR abs/2104.13207 (2021) - [i53]Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani:
Towards Teachable Autonomous Agents. CoRR abs/2105.11977 (2021) - [i52]Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Grounding Spatio-Temporal Language with Transformers. CoRR abs/2106.08858 (2021) - [i51]Guillermo Valle Pérez, Gustav Eje Henter, Jonas Beskow, Andre Holzapfel, Pierre-Yves Oudeyer, Simon Alexanderson:
Transflower: probabilistic autoregressive dance generation with multimodal attention. CoRR abs/2106.13871 (2021) - [i50]Maxime Gasse, Damien Grasset, Guillaume Gaudron, Pierre-Yves Oudeyer:
Causal Reinforcement Learning using Observational and Interventional Data. CoRR abs/2106.14421 (2021) - [i49]Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. CoRR abs/2107.00956 (2021) - [i48]Jessy Ceha, Edith Law, Dana Kulic, Pierre-Yves Oudeyer, Didier Roy:
Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers' Perspective. CoRR abs/2111.00360 (2021) - [i47]Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher J. Pal, Pierre-Yves Oudeyer:
Learning to Guide and to Be Guided in the Architect-Builder Problem. CoRR abs/2112.07342 (2021) - 2020
- [j35]Patricia H. Shaw, Mark H. Lee, Qiang Shen, Kathy Hirsh-Pasek, Karen E. Adolph, Pierre-Yves Oudeyer, Jill Popp:
Editorial: Modeling Play in Early Infant Development. Frontiers Neurorobotics 14: 50 (2020) - [j34]Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer:
Intrinsically Motivated Exploration of Learned Goal Spaces. Frontiers Neurorobotics 14: 555271 (2020) - [j33]Clément Moulin-Frier, Jules Brochard, Freek Stulp, Pierre-Yves Oudeyer:
Emergent Jaw Predominance in Vocal Development Through Stochastic Optimization. IEEE Trans. Cogn. Dev. Syst. 12(3): 378-389 (2020) - [c84]Mehdi Alaimi, Edith Law, Kevin Daniel Pantasdo, Pierre-Yves Oudeyer, Hélène Sauzeon:
Pedagogical Agents for Fostering Question-Asking Skills in Children. CHI 2020: 1-13 - [c83]Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer:
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems. ICLR 2020 - [c82]Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer:
Automatic Curriculum Learning For Deep RL: A Short Survey. IJCAI 2020: 4819-4825 - [c81]Nicolas Lair, Clément Delgrange, David Mugisha, Jean-Michel Dussoux, Pierre-Yves Oudeyer, Peter Ford Dominey:
User-in-the-loop adaptive intent detection for instructable digital assistant. IUI 2020: 116-127 - [c80]Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter F. Dominey, Pierre-Yves Oudeyer:
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration. NeurIPS 2020 - [c79]Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems. NeurIPS 2020 - [c78]Aurélien Appriou, Jessy Ceha, Smeety Pramij, Dan Dutartre, Edith Law, Pierre-Yves Oudeyer, Fabien Lotte:
Towards measuring states of epistemic curiosity through electroencephalographic signals. SMC 2020: 4006-4011 - [i46]Nicolas Lair, Clément Delgrange, David Mugisha, Jean-Michel Dussoux, Pierre-Yves Oudeyer, Peter Ford Dominey:
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant. CoRR abs/2001.06007 (2020) - [i45]Clément Moulin-Frier, Pierre-Yves Oudeyer:
Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges. CoRR abs/2002.08878 (2020) - [i44]Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Ford Dominey, Pierre-Yves Oudeyer:
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration. CoRR abs/2002.09253 (2020) - [i43]Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer:
Automatic Curriculum Learning For Deep RL: A Short Survey. CoRR abs/2003.04664 (2020) - [i42]Tristan Karch, Cédric Colas, Laetitia Teodorescu, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Deep Sets for Generalization in RL. CoRR abs/2003.09443 (2020) - [i41]Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning. CoRR abs/2004.03168 (2020) - [i40]Mehdi Alaimi, Edith Law, Kevin Daniel Pantasdo, Pierre-Yves Oudeyer, Hélène Sauzeon:
Pedagogical Agents for Fostering Question-Asking Skills in Children. CoRR abs/2004.03472 (2020) - [i39]Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer:
Recognizing Spatial Configurations of Objects with Graph Neural Networks. CoRR abs/2004.04546 (2020) - [i38]Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke:
Progressive growing of self-organized hierarchical representations for exploration. CoRR abs/2005.06369 (2020) - [i37]Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud:
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL. CoRR abs/2006.07043 (2020) - [i36]Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud:
DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents. CoRR abs/2006.07185 (2020) - [i35]Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Hierarchically-Organized Latent Modules for Exploratory Search in Morphogenetic Systems. CoRR abs/2007.01195 (2020) - [i34]Grgur Kovac, Adrien Laversanne-Finot, Pierre-Yves Oudeyer:
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning. CoRR abs/2008.04388 (2020) - [i33]Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague:
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. CoRR abs/2010.04452 (2020) - [i32]Clément Moulin-Frier, Jules Brochard, Freek Stulp, Pierre-Yves Oudeyer:
Emergent Jaw Predominance in Vocal Development through Stochastic Optimization. CoRR abs/2010.07208 (2020) - [i31]Rémy Portelas, Clément Romac, Katja Hofmann, Pierre-Yves Oudeyer:
Meta Automatic Curriculum Learning. CoRR abs/2011.08463 (2020) - [i30]Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer:
Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey. CoRR abs/2012.09830 (2020)
2010 – 2019
- 2019
- [j32]Sébastien Mick, Mattieu Lapeyre, Pierre Rouanet, Christophe Halgand, Jenny Benois-Pineau, Florent Paclet, Daniel Cattaert, Pierre-Yves Oudeyer, Aymar de Rugy:
Reachy, a 3D-Printed Human-Like Robotic Arm as a Testbed for Human-Robot Control Strategies. Frontiers Neurorobotics 13: 65 (2019) - [j31]Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew G. Barto, Gianluca Baldassarre:
Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots. Frontiers Neurorobotics 13: 115 (2019) - [c77]Jessy Ceha, Nalin Chhibber, Joslin Goh, Corina McDonald, Pierre-Yves Oudeyer, Dana Kulic, Edith Law:
Expression of Curiosity in Social Robots: Design, Perception, and Effects on Behaviour. CHI 2019: 406 - [c76]Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer:
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRL 2019: 835-853 - [c75]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. RML@ICLR 2019 - [c74]Cédric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, Mohamed Chetouani:
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning. ICML 2019: 1331-1340 - [c73]Pierre-Yves Oudeyer:
Developmental Autonomous Learning: AI, Cognitive Sciences and Educational Technology. IVA 2019: 2 - [i29]Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter F. Dominey, Pierre-Yves Oudeyer:
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. ViGIL@NeurIPS 2019 - [i28]Pierre-Yves Oudeyer, George Kachergis, William Schueller:
Computational and Robotic Models of Early Language Development: A Review. CoRR abs/1903.10246 (2019) - [i27]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. CoRR abs/1904.06979 (2019) - [i26]Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer:
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots. CoRR abs/1906.03967 (2019) - [i25]Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer:
Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems. CoRR abs/1908.06663 (2019) - [i24]Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer:
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRR abs/1910.07224 (2019) - [i23]Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter Ford Dominey, Pierre-Yves Oudeyer:
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. CoRR abs/1911.03219 (2019) - 2018
- [c72]William Schueller, Vittorio Loreto, Pierre-Yves Oudeyer:
Complexity Reduction in the Negotiation of New Lexical Conventions. CogSci 2018 - [c71]Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer:
Curiosity Driven Exploration of Learned Disentangled Goal Spaces. CoRL 2018: 487-504 - [c70]Florian Golemo, Adrien Ali Taïga, Aaron C. Courville, Pierre-Yves Oudeyer:
Sim-to-Real Transfer with Neural-Augmented Robot Simulation. CoRL 2018: 817-828 - [c69]Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer:
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration. ICLR (Poster) 2018 - [c68]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. ICML 2018: 1038-1047 - [c67]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. JFPDA 2018 - [i22]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. CoRR abs/1802.05054 (2018) - [i21]Pierre-Yves Oudeyer:
Computational Theories of Curiosity-Driven Learning. CoRR abs/1802.10546 (2018) - [i20]Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer:
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration. CoRR abs/1803.00781 (2018) - [i19]Sao Mai Nguyen, Pierre-Yves Oudeyer:
Active choice of teachers, learning strategies and goals for a socially guided intrinsic motivation learner. CoRR abs/1804.06819 (2018) - [i18]Sao Mai Nguyen, Pierre-Yves Oudeyer:
Socially Guided Intrinsic Motivation for Robot Learning of Motor Skills. CoRR abs/1804.07269 (2018) - [i17]William Schueller, Vittorio Loreto, Pierre-Yves Oudeyer:
Complexity Reduction in the Negotiation of New Lexical Conventions. CoRR abs/1805.05631 (2018) - [i16]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments. CoRR abs/1806.08295 (2018) - [i15]Pierre Fournier, Olivier Sigaud, Mohamed Chetouani, Pierre-Yves Oudeyer:
Accuracy-based Curriculum Learning in Deep Reinforcement Learning. CoRR abs/1806.09614 (2018) - [i14]Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer:
Curiosity Driven Exploration of Learned Disentangled Goal Spaces. CoRR abs/1807.01521 (2018) - [i13]Fabien C. Y. Benureau, Pierre-Yves Oudeyer:
Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits. CoRR abs/1808.07739 (2018) - [i12]Cédric Colas, Pierre Fournier, Olivier Sigaud, Pierre-Yves Oudeyer:
CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. CoRR abs/1810.06284 (2018) - 2017
- [j30]Sébastien Mick, Daniel Cattaert, Florent Paclet, Pierre-Yves Oudeyer, Aymar de Rugy:
Performance and Usability of Various Robotic Arm Control Modes from Human Force Signals. Frontiers Neurorobotics 11: 55 (2017) - [c66]Edith Law, Pierre-Yves Oudeyer, Ming Yin, Mike Schaekermann, Alex C. Williams:
Designing for Curiosity: An Interdisciplinary Workshop. CHI Extended Abstracts 2017: 586-592 - [c65]Sébastien Forestier, Pierre-Yves Oudeyer:
A Unified Model of Speech and Tool Use Early Development. CogSci 2017 - [i11]Sébastien Forestier, Yoan Mollard, Pierre-Yves Oudeyer:
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning. CoRR abs/1708.02190 (2017) - [i10]Pierre-Yves Oudeyer:
Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human-like learning. CoRR abs/1712.01626 (2017) - [i9]Freek Stulp, Pierre-Yves Oudeyer:
Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization. CoRR abs/1712.05249 (2017) - 2016
- [j29]