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LSTD with Random Projections.
Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric-Ambrym Maillard, and Rémi Munos NIPS, page 721-729. Curran Associates, Inc., (2010)
to dblp by dblp on Jan 21, 2012, 12:00 AM
URL | BibTeX
Classification-based Policy Iteration with a Critic.
Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh, and Bruno Scherrer ICML, page 1049-1056. Omnipress, (2011)
to dblp by dblp on Dec 16, 2011, 12:00 AM
URL | BibTeX
Finite-Sample Analysis of Lasso-TD.
Mohammad Ghavamzadeh, Alessandro Lazaric, Rémi Munos, and Matthew Hoffman ICML, page 1177-1184. Omnipress, (2011)
to dblp by dblp on Dec 16, 2011, 12:00 AM
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Hierarchical Average Reward Reinforcement Learning.
Mohammad Ghavamzadeh, and Sridhar Mahadevan Journal of Machine Learning Research (2007)
to dblp by dblp on Dec 15, 2011, 12:00 AM
URL | BibTeX
Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits.
Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, and Peter Auer ALT, volume 6925 of Lecture Notes in Computer Science, page 189-203. Springer, (2011)
to dblp by dblp on Oct 15, 2011, 12:00 AM
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Finite-sample Analysis of Bellman Residual Minimization.
Odalric-Ambrym Maillard, Rémi Munos, Alessandro Lazaric, and Mohammad Ghavamzadeh Journal of Machine Learning Research - Proceedings Track (2010)
to dblp by dblp on Apr 5, 2011, 12:00 AM
URL | BibTeX
The Workshop Program at the Nineteenth National Conference on Artificial Intelligence.
Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, and Mohammad Ghavamzadeh AI Magazine 26(1):103-108 (2005)
to dblp by dblp on Dec 29, 2010, 12:00 AM
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Analysis of a Classification-based Policy Iteration Algorithm.
Alessandro Lazaric, Mohammad Ghavamzadeh, and Rémi Munos ICML, page 607-614. Omnipress, (2010)
to dblp by dblp on Sep 6, 2010, 12:00 AM
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Finite-Sample Analysis of LSTD.
Alessandro Lazaric, Mohammad Ghavamzadeh, and Rémi Munos ICML, page 615-622. Omnipress, (2010)
to dblp by dblp on Sep 6, 2010, 12:00 AM
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Bayesian Multi-Task Reinforcement Learning.
Alessandro Lazaric, and Mohammad Ghavamzadeh ICML, page 599-606. Omnipress, (2010)
to dblp by dblp on Sep 6, 2010, 12:00 AM
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Natural actor-critic algorithms.
Shalabh Bhatnagar, Richard S. Sutton, Mohammad Ghavamzadeh, and Mark Lee Automatica 45(11):2471-2482 (2009)
to dblp by dblp on Jul 21, 2010, 3:50 PM
URL | BibTeX
Incremental Natural Actor-Critic Algorithms.
Shalabh Bhatnagar, Richard S. Sutton, Mohammad Ghavamzadeh, and Mark Lee NIPS, Curran Associates, Inc., (2007)
to dblp by dblp on Jun 16, 2009, 12:00 AM
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Regularized Policy Iteration.
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csaba Szepesvári, and Shie Mannor NIPS, page 441-448. Curran Associates, Inc., (2008)
to dblp by dblp on Apr 15, 2009, 12:00 AM
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Hierarchical Policy Gradient Algorithms
M. Ghavamzadeh, and Sridhar Mahadevan Proceedings of the Twentieth Conference on Machine Learning ICML-2003, (2003)
to daanbib by idsia and 2 other users on Mar 11, 2008, 2:52 PM
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Hierarchical Policy Gradient Algorithms
M. Ghavamzadeh, and Sridhar Mahadevan Proceedings of the Twentieth Conference on Machine Learning ICML-2003, (2003)
to daanbib by schaul and 2 other users on Feb 26, 2008, 12:05 PM
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Bayesian Policy Gradient Algorithms.
Mohammad Ghavamzadeh, and Yaakov Engel NIPS, page 457-464. MIT Press, (2006)
to dblp by dblp on Oct 25, 2007, 12:00 AM
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Bayesian actor-critic algorithms.
Mohammad Ghavamzadeh, and Yaakov Engel ICML, volume 227 of ACM International Conference Proceeding Series, page 297-304. ACM, (2007)
to dblp by dblp on Oct 22, 2007, 12:00 AM
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Hierarchical multi-agent reinforcement learning.
Mohammad Ghavamzadeh, Sridhar Mahadevan, and Rajbala Makar Autonomous Agents and Multi-Agent Systems 13(2):197-229 (2006)
to dblp by dblp on Feb 7, 2007, 12:00 AM
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Learning to Communicate and Act Using Hierarchical Reinforcement Learning.
Mohammad Ghavamzadeh, and Sridhar Mahadevan AAMAS, page 1114-1121. IEEE Computer Society, (2004)
to dblp by dblp on Oct 13, 2004, 12:00 AM
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Hierarchical Policy Gradient Algorithms.
Mohammad Ghavamzadeh, and Sridhar Mahadevan ICML, page 226-233. AAAI Press, (2003)
to dblp by dblp and 2 other users on Sep 22, 2003, 12:00 AM
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