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SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
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In: https://hal.archives-ouvertes.fr/hal-03372670 ; 2021 (2021)
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Grounding Language to Autonomously-Acquired Skills via Goal Generation
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In: ICLR 2021 - Ninth International Conference on Learning Representation ; https://hal.inria.fr/hal-03121146 ; ICLR 2021 - Ninth International Conference on Learning Representation, May 2021, Vienna / Virtual, Austria (2021)
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Language-Conditioned Goal Generation: a New Approach to Language Grounding in RL
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In: https://hal.inria.fr/hal-03099887 ; 2021 (2021)
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Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
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In: NeurIPS 2020 - 34th Conference on Neural Information Processing Systems ; https://hal.archives-ouvertes.fr/hal-03083158 ; NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada (2020)
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Complexity Reduction in the Negotiation of New Lexical Conventions
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In: 40th Annual Conference of the Cognitive Science Society (CogSci 2018) ; https://hal.inria.fr/hal-01891762 ; 40th Annual Conference of the Cognitive Science Society (CogSci 2018), Jul 2018, Madison, WI, United States (2018)
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Open challenges in understanding development and evolution of speech forms: The roles of embodied self-organization, motivation and active exploration
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In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://hal.inria.fr/hal-01250777 ; Journal of Phonetics, Elsevier, 2015, 53, pp.5. ⟨10.1016/j.wocn.2015.09.001⟩ ; http://www.sciencedirect.com/science/article/pii/S0095447015000716 (2015)
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MCA-NMF: Multimodal Concept Acquisition with Non-Negative Matrix Factorization
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-01137529 ; PLoS ONE, Public Library of Science, 2015, 10 (10), pp.e0140732. ⟨10.1371/journal.pone.0140732.t005⟩ ; http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0140732 (2015)
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Self-Organization of Early Vocal Development in Infants and Machines: The Role of Intrinsic Motivation
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.inria.fr/hal-00927940 ; Frontiers in Psychology, Frontiers, 2013, 4 (1006), ⟨10.3389/fpsyg.2013.01006⟩ ; http://www.frontiersin.org/Journal/10.3389/fpsyg.2013.01006/abstract (2013)
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Abstract:
International audience ; We bridge the gap between two issues in infant development: vocal development and intrinsic motivation. We propose and experimentally test the hypothesis that general mechanisms of intrinsically motivated spontaneous exploration, also called curiosity-driven learning, can self-organize developmental stages during early vocal learning. We introduce a computational model of intrinsically motivated vocal exploration, which allows the learner to autonomously structure its own vocal experiments, and thus its own learning schedule, through a drive to maximize competence progress. This model relies on a physical model of the vocal tract, the auditory system and the agent's motor control as well as vocalizations of social peers. We present computational experiments that show how such a mechanism can explain the adaptive transition from vocal self-exploration with little influence from the speech environment, to a later stage where vocal exploration becomes influenced by vocalizations of peers. Within the initial self-exploration phase, we show that a sequence of vocal production stages self-organizes, and shares properties with data from infant developmental psychology: the vocal learner first discovers how to control phonation, then focuses on vocal variations of unarticulated sounds, and finally automatically discovers and focuses on babbling with articulated proto-syllables. As the vocal learner becomes more proficient at producing complex sounds, imitating vocalizations of peers starts to provide high learning progress explaining an automatic shift from self-exploration to vocal imitation.
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Keyword:
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [SCCO.COMP]Cognitive science/Computer science; curiosity-driven learning; goal babbling; Imitation; Interactive Learning; intrinsic motivation; self-organization; Vocal Development
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URL: https://hal.inria.fr/hal-00927940/file/frontiers.pdf
https://hal.inria.fr/hal-00927940/document
https://doi.org/10.3389/fpsyg.2013.01006
https://hal.inria.fr/hal-00927940
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| 9 |
Curiosity-driven phonetic learning
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In: ICDL-Epirob - International Conference on Development and Learning, Epirob ; https://hal.inria.fr/hal-00762795 ; ICDL-Epirob - International Conference on Development and Learning, Epirob, Nov 2012, San Diego, United States (2012)
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Learning to recognize parallel combinations of human motion primitives with linguistic descriptions using non-negative matrix factorization
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In: IROS 2012 - IEEE/RSJ International Conference on Intelligent Robots and Systems ; https://hal.inria.fr/hal-00764353 ; IROS 2012 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2012, Vilamoura, Portugal (2012)
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