Planning
The accurate modeling of dynamics in interactive environments is critical for successful long-range prediction. Such a capability could …
Handling out-of-distribution (OOD) samples has become a major stake in the real-world deploy- ment of machine learning systems. This …
Embodied agents face significant challenges when tasked with performing actions in diverse environments, particularly in generalizing …
The accurate modeling of dynamics in interactive environments is critical for suc- cessful long-range prediction. Such a capability …
The ALFRED environment features an embodied agent following instructions and accomplishing tasks in simulated home environments. …
A popular approach for sequential decision-making is to perform simulator-based search
guided with Machine Learning (ML) methods like …
The ALFRED environment features embodied instruction following tasks in simulated home environments. However, end-to-end deep learning …
A popular approach for sequential decision-making is to perform simulator-based search
guided with Machine Learning (ML) methods like …
Millions of blind and visually-impaired (BVI) people navigate urban environments every day, using smartphones for high-level …
In this work, we draw connections between planning and latent variable models1. Specifically, planning can be seen as introducing …