: In the post-crisis era new concepts are emerging, while some old and dysfunctional ones are being discarded. Strategy is about making series of decisions that drive corporate act...
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
Abstract— To compute collision-free and dynamicallyfeasibile trajectories that satisfy high-level specifications given in a planning-domain definition language, this paper prop...
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...