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1
Language as a Cognitive Tool: Dall-E, Humans and Vygotskian RL Agents
In: https://hal.archives-ouvertes.fr/hal-03159786 ; 2021 (2021)
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2
Curiosity-driven exploration: Diversity of mechanisms and functions
In: https://hal.inria.fr/hal-03447896 ; 2021 (2021)
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3
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
In: https://hal.archives-ouvertes.fr/hal-03442937 ; 2021 (2021)
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SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
In: https://hal.archives-ouvertes.fr/hal-03372670 ; 2021 (2021)
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5
Grounding Language to Autonomously-Acquired Skills via Goal Generation
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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6
Language-Conditioned Goal Generation: a New Approach to Language Grounding in RL
In: https://hal.inria.fr/hal-03099887 ; 2021 (2021)
Abstract: In the real world, linguistic agents are also embodied agents: they perceive and act in the physical world. The notion of Language Grounding questions the interactions between language and embodiment: how do learning agents connect or ground linguistic representations to the physical world? This question has recently been approached by the Reinforcement Learning community under the framework of instruction-following agents. In these agents, behavioral policies or reward functions are conditioned on the embedding of an instruction expressed in natural language. This paper proposes another approach: using language to condition goal generators. Given any goal-conditioned policy, one could train a language-conditioned goal generator to generate language-agnostic goals for the agent. This method allows to decouple sensorimotor learning from language acquisition and enable agents to demonstrate a diversity of behaviors for any given instruction. We propose a particular instantiation of this approach and demonstrate its benefits.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
URL: https://hal.inria.fr/hal-03099887
https://hal.inria.fr/hal-03099887/file/2006.07043.pdf
https://hal.inria.fr/hal-03099887/document
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7
Grounding Spatio-Temporal Language with Transformers
In: NeurIPS 2021 - 35th Conference on Neural Information Processing Systems ; https://hal.archives-ouvertes.fr/hal-03439096 ; NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtuel, France (2021)
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8
Grounding Spatio-Temporal Language with Transformers ...
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9
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
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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10
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL ...
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11
Grounding Language to Autonomously-Acquired Skills via Goal Generation ...
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12
Emergent Jaw Predominance in Vocal Development through Stochastic Optimization ...
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13
Computational and robotic models of early language development : a review
In: International handbook of language acquisition (London, 2019), p. 76-101
MPI für Psycholinguistik
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14
Computational and Robotic Models of Early Language Development: A Review
In: International Handbook of Language Acquisition ; https://hal.inria.fr/hal-02371233 ; International Handbook of Language Acquisition, 2019 (2019)
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15
Complexity Reduction in the Negotiation of New Lexical Conventions
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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16
Complexity Reduction in the Negotiation of New Lexical Conventions ...
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17
Complexity Reduction in the Negotiation of New Lexical Conventions ...
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18
Emergent Jaw Predominance in Vocal Development through Stochastic Optimization
In: ISSN: 2379-8920 ; EISSN: 2379-8939 ; IEEE Transactions on Cognitive and Developmental Systems ; https://hal.inria.fr/hal-01578075 ; IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers, Inc, 2017, pp.1-12. ⟨10.1109/TCDS.2017.2704912⟩ ; http://ieeexplore.ieee.org/document/7955101/ (2017)
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19
How Evolution May Work Through Curiosity-Driven Developmental Process
In: ISSN: 1756-8757 ; EISSN: 1756-8765 ; Topics in cognitive science ; https://hal.inria.fr/hal-01404334 ; Topics in cognitive science, Wiley, 2016, 8, ⟨10.1111/tops.12196⟩ ; https://www.ncbi.nlm.nih.gov/pubmed/26969919 (2016)
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20
An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames
In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.inria.fr/hal-01404385 ; Frontiers in Psychology, Frontiers, 2016, 7, pp.18. ⟨10.3389/fpsyg.2016.00470⟩ ; http://journal.frontiersin.org/article/10.3389/fpsyg.2016.00470/full (2016)
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