Scalable accelerated decentralized multi-robot policy search in continuous observation spaces

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces

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 c...

Full description

Bibliographic Details
Main Authors: Amato, Christopher (Author), Liu, Miao (Author), Vian, John (Author), Omidshafiei, Shayegan (Contributor), Everett, Michael F (Contributor), How, Jonathan P (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2018-04-13T20:34:55Z.
Subjects:
Article
Online Access:Get fulltext

Internet

Get fulltext

Similar Items