Data-Driven Policy Transfer With Imprecise Perception Simulation

Data-driven Policy Transfer with Imprecise Perception Simulation

This paper presents a complete pipeline for learning continuous motion control policies for a mobile robot when only a non-differentiable physics simulator of robot-terrain interactions is available. The multi-modal state estimation of the robot is also complex and difficult to simulate, so we simultaneously learn a generative model which refines simulator outputs. We propose a coarse-to-fine l...

Dynamic data driven simulation with soft data

Dynamic data driven simulation dynamically assimilates observation data at runtime to improve the simulation results. Typically, the observations are “hard data” that are data collected from sensors. In this paper we consider dynamic data driven simulation with soft data, which are data coming from human reports. Compared with the quantified hard data, soft data are qualitative, fuzzy and subje...

Non convex technologies and economic efficiency measure with imprecise data

Statistics with Imprecise Data

Article Outline Glossary I. Definition of the Subject and Its Importance II. Introduction III. Mathematical modeling of imprecise data IV. Fuzzy random variables V. Statistical analysis of random fuzzy perceptions VI.1 Fuzzy estimators and fuzzy confidence intervals VI.2 Fuzzy statistical tests VII. Statistical analysis of random fuzzy variables VIII. Future directions Bibliography Glossary Fuz...

POSSET - Policy-Driven Secure Session Transfer

Ubiquitous networks and seamless terminals are potential e for session mobility and session transfer. In a business environment, s mobility is restricted by the security requirements set forth by corporat rity policies to protect corporate assets. Session mobility can be suppo the extent that specified corporate assets are still protected even though sion is transferred to another mobile device...