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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-Conditioned Goal Generation: a New Approach to Language Grounding for RL ...
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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 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG; Machine Learning stat.ML
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URL: https://arxiv.org/abs/2006.07043
https://dx.doi.org/10.48550/arxiv.2006.07043
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Grounding Language to Autonomously-Acquired Skills via Goal Generation ...
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Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems
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In: Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior ; https://hal.archives-ouvertes.fr/hal-01311570 ; Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, 4520, Springer-Verlag, pp.1-18, 2007, Lecture Notes in Computer Science, 978-3-540-74261-6. ⟨10.1007/978-3-540-74262-3_1⟩ (2007)
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