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Tristan Karch

3 accepted papers

2022

Learning to Guide and to be Guided in the Architect-Builder Problem

ICLR 2022poster

We are interested in interactive agents that learn to coordinate, namely, a $builder$ -- which performs actions but ignores the goal of the task, i.e. has no access to rewards -- and an $architect$ which guides the builder towards the goal of the task. We define and explore a formal setting where a…

2021

Grounding Spatio-Temporal Language with Transformers

NeurIPS 2021poster

Language is an interface to the outside world. In order for embodied agents to use it, language must be grounded in other, sensorimotor modalities. While there is an extended literature studying how machines can learn grounded language, the topic of how to learn spatio-temporal linguistic concepts i…

2020

Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration

NeurIPS 2020poster

Developmental machine learning studies how artificial agents can model the way children learn open-ended repertoires of skills. Such agents need to create and represent goals, select which ones to pursue and learn to achieve them. Recent approaches have considered goal spaces that were either fixed…