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Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models.

H. Wei, W. Lu, P. Zhu, S. Ferrari, M. Liu, R. Klein, S. Omidshafiei, and J. How. Automatica, (2016)

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α-Rank: Multi-Agent Evaluation by Evolution.S. Omidshafiei, C. Papadimitriou, G. Piliouras, K. Tuyls, M. Rowland, J. Lespiau, W. Czarnecki, M. Lanctot, J. Pérolat, and R. Munos. CoRR, (2019)Neural Replicator Dynamics.S. Omidshafiei, D. Hennes, D. Morrill, R. Munos, J. Pérolat, M. Lanctot, A. Gruslys, J. Lespiau, and K. Tuyls. CoRR, (2019)Online heterogeneous multiagent learning under limited communication with applications to forest fire management.N. Ure, S. Omidshafiei, B. Lopez, A. akbar Agha mohammadi, J. How, and J. Vian. IROS, page 5181-5188. IEEE, (2015)Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models.H. Wei, W. Lu, P. Zhu, S. Ferrari, M. Liu, R. Klein, S. Omidshafiei, and J. How. Automatica, (2016)Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification.S. Omidshafiei, B. Lopez, J. How, and J. Vian. CoRR, (2016)Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations.S. Omidshafiei, S. Liu, M. Everett, B. Lopez, C. Amato, M. Liu, J. How, and J. Vian. ICRA, page 871-878. IEEE, (2017)Learning to Teach in Cooperative Multiagent Reinforcement Learning.S. Omidshafiei, D. Kim, M. Liu, G. Tesauro, M. Riemer, C. Amato, M. Campbell, and J. How. AAAI, page 6128-6136. AAAI Press, (2019)Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability.S. Omidshafiei, J. Pazis, C. Amato, J. How, and J. Vian. ICML, volume 70 of Proceedings of Machine Learning Research, page 2681-2690. PMLR, (2017)Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models.H. Wei, W. Lu, P. Zhu, S. Ferrari, R. Klein, S. Omidshafiei, and J. How. IROS, page 95-102. IEEE, (2014)Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs.S. Omidshafiei, A. akbar Agha mohammadi, C. Amato, S. Liu, J. How, and J. Vian. ICRA, page 5395-5402. IEEE, (2016)

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Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models.

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Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models.