Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces

ICRA, 2017.

Cited by: 4|Bibtex|Views46
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

This paper presents the first ever approach for solving continuous-observation Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) and their semi-Markovian counterparts, Dec-POSMDPs. This contribution is especially important in robotics, where a vast number of sensors provide continuous observation data. A continuous...More

Code:

Data:

Your rating :
0

 

Tags
Comments