no code implementations • 6 Mar 2024 • Zhewei Liu, Kai Yin, Ali Mostafavi
The proposed perspective focuses on three pillars for examining flood risk: (1) inherent susceptibility, (2) mitigation strategies, and (3) external stressors.
no code implementations • 3 Nov 2023 • Kai Yin, Ali Mostafavi
The interpretability of the model outcomes enables feature analysis for specifying the determinants of resilience in areas within each resilience level, allowing for the identification of specific resilience enhancement strategies.
no code implementations • 26 Sep 2023 • Kai Yin, Ali Mostafavi
Urban flood risk emerges from complex and nonlinear interactions among multiple features related to flood hazard, flood exposure, and social and physical vulnerabilities, along with the complex spatial flood dependence relationships.
no code implementations • 17 Oct 2022 • Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu
Using both simulated and real-world experiments in multi-robot navigation tasks, we demonstrate that the resulting framework allows the robots to reason about different levels of rational behaviors of other agents and compute a reasonable strategy under its computational constraint.
no code implementations • 8 Sep 2020 • Junhong Xu, Kai Yin, Lantao Liu
We first predict the future state distributions of other vehicles to account for their uncertain behaviors affected by the time-varying disturbances.
no code implementations • 3 Jun 2020 • Junhong Xu, Kai Yin, Lantao Liu
We propose a principled kernel-based policy iteration algorithm to solve the continuous-state Markov Decision Processes (MDPs).
no code implementations • 22 May 2019 • Junhong Xu, Kai Yin, Lantao Liu
We propose a solution to a time-varying variant of Markov Decision Processes which can be used to address decision-theoretic planning problems for autonomous systems operating in unstructured outdoor environments.
no code implementations • 24 Nov 2016 • Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme
Different from most existing works where the profits are assumed to be static, in this work we investigate a variant that has arbitrary time-dependent profits.