2 code implementations • NeurIPS 2020 • Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Dominey, Pierre-Yves Oudeyer
We argue that the ability to imagine out-of-distribution goals is key to enable creative discoveries and open-ended learning.
no code implementations • ICML Workshop LaReL 2020 • Tristan Karch, Nicolas Lair, Cédric Colas, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Ford Dominey, Pierre-Yves Oudeyer
We introduce the Playground environment and study how this form of goal imagination improves generalization and exploration over agents lacking this capacity.
2 code implementations • 21 Feb 2020 • Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Ford Dominey, Pierre-Yves Oudeyer
We argue that the ability to imagine out-of-distribution goals is key to enable creative discoveries and open-ended learning.
1 code implementation • 16 Jan 2020 • Nicolas Lair, Clément Delgrange, David Mugisha, Jean-Michel Dussoux, Pierre-Yves Oudeyer, Peter Ford Dominey
To provide such functionalities, NL interpretation in traditional assistants should be improved: (1) The intent identification system should be able to recognize new forms of known intents, and to acquire new intents as they are expressed by the user.
no code implementations • 8 Nov 2019 • Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter Ford Dominey, Pierre-Yves Oudeyer
We propose LE2 (Language Enhanced Exploration), a learning algorithm leveraging intrinsic motivations and natural language (NL) interactions with a descriptive social partner (SP).