2 citations · 4 across the 3 of their papers we have counts for
3 papers
Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans
Stefania Raimondo, Christopher Pal, Xiaotian Liu +2
Task-oriented dialogue is difficult in part because it involves understanding user intent, collecting information from the user, executing API calls, and generating helpful and flu…
Egocentric Planning for Scalable Embodied Task Achievement
Xiaotian Liu, Hector Palacios, Christian Muise
Embodied agents face significant challenges when tasked with performing actions in diverse environments, particularly in generalizing across object types and executing suitable act…
Scaling up ML-based Black-box Planning with Partial STRIPS Models
Matias Greco, Álvaro Torralba, Jorge A. Baier +1
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like policy learning. On the other hand, model-rela…