Search Results for author: H. J. Austin Wang

Found 1 papers, 0 papers with code

Grounding Language to Entities for Generalization in Reinforcement Learning

no code implementations1 Jan 2021 H. J. Austin Wang, Karthik R Narasimhan

EMMA is end-to-end differentiable and can learn a latent grounding of entities and dynamics from text to observations using environment rewards as the only source of supervision.

reinforcement-learning Reinforcement Learning (RL) +1

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