A robust approach to robot team learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10514-015-9524-2.pdf
Reference26 articles.
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3. Arulampalam, M. S., Maskell, S., Gordon, N., & Clapp, T. (2002). A tutorial on particle filters for online nonlinear/non-Gaussian bayesian tracking. IEEE Transactions on Signal Processing, 50, 174–188.
4. Becker, R., Zilberstein, S., Lesser, V., & Goldman, C. V. (2004). Solving transition independent decentralized Markov decision processes. Journal of Artificial Intelligence Research archive, 22(1), 423–455.
5. Bernstein, D. S., Givan, R., Immerman, N., & Zilberstein, S. (2002). The complexity of decentralized control of markov decision processes. Mathematics of Operations Research, 27, 819–840.
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