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...
Main Authors: | Amato, Christopher, Liu, Miao, Vian, John, Omidshafiei, Shayegan, Everett, Michael F, How, Jonathan P |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
|
Online Access: | http://hdl.handle.net/1721.1/114736 https://orcid.org/0000-0003-0903-0137 https://orcid.org/0000-0001-9377-6745 https://orcid.org/0000-0001-8576-1930 |
Similar Items
-
Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations
by: Amato, Christopher, et al.
Published: (2018) -
Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions
by: Omidshafiei, Shayegan, et al.
Published: (2018) -
Decentralized Control of Partially Observable Markov Decision Processes Using Belief Space Macro-Actions
by: Omidshafiei, Shayegan, et al.
Published: (2015) -
Decentralized control of multi-robot systems using partially observable Markov Decision Processes and belief space macro-actions
by: Omidshafiei, Shayegan
Published: (2016) -
Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs
by: Agha-mohammadi, Ali-akbar, et al.
Published: (2016)