Amir-massoud Farahmand - Google Scholar Citations

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Csaba SzepesvariDeepMind & Department of Computing Science, University of AlbertaVerified email at cs.ualberta.ca
Mohammad GhavamzadehFacebook AI Research (FAIR)Verified email at inria.fr
Shie MannorProfessor of Electrical Engineering, TechnionVerified email at technion.ac.il
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
Daniel NikovskiGroup Manager, Mitsubishi Electric Research LabsVerified email at merl.com
Azad ShademanIntuitive Surgical Inc.Verified email at intusurg.com
Martin JagersandUniversity of AlbertaVerified email at cs.ualberta.ca
Majid Nili AhmadabadiProfessor of ECE, University of TehranVerified email at ut.ac.ir
Joelle PineauSchool of Computer Science, McGill UniversityVerified email at cs.mcgill.ca
Babak N AraabiProfessor of ECE, University of TehranVerified email at ut.ac.ir
Andre BarretoResearch Scientist, Google DeepMindVerified email at google.com
mouhacine benosmanMERL- Data Analytics GroupVerified email at merl.com
Saleh NabiResearch Scientist, Mitsubishi Electric Research LaboratoriesVerified email at merl.com
Beomjoon KimMassachusetts Institute of TechnologyVerified email at mit.edu
M. J. YazdanpanahProfessor of Electrical Engineering, School of ECE, University of TehranVerified email at ut.ac.ir
Rémi MunosDeepMindVerified email at inria.fr
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
De-An HuangStanford UniversityVerified email at cs.stanford.edu
Kris KitaniCarnegie Mellon University, Robotics InstituteVerified email at cs.cmu.edu
Kota HaraAppleVerified email at apple.com

Amir-massoud Farahmand

Vector Institute, University of Toronto

Verified email at vectorinstitute.ai - Homepage

Machine Learning Reinforcement Learning Sequential Decision Making Statistical Learning Theory Visual Servoing


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Regularized Policy Iteration A Farahmand, M Ghavamzadeh, S Mannor, C Szepesvári Advances in Neural Information Processing Systems 21 (NeurIPS 2008), 441-448, 2009	144	2009
Error propagation for approximate policy and value iteration A Farahmand, C Szepesvári, R Munos Advances in Neural Information Processing Systems (NeurIPS), 568-576, 2010	122	2010
Manifold-adaptive dimension estimation A Farahmand, C Szepesvári, JY Audibert Proceedings of the 24th International Conference on Machine Learning (ICML …, 2007	77	2007
Regularized fitted Q-iteration for planning in continuous-space Markovian decision problems A Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor American Control Conference (ACC), 725-730, 2009	76*	2009
Robust jacobian estimation for uncalibrated visual servoing A Shademan, A Farahmand, M Jägersand IEEE International Conference on Robotics and Automation (ICRA), 5564-5569, 2010	58	2010
Learning from Limited Demonstrations B Kim, A Farahmand, J Pineau, D Precup Advances in Neural Information Processing Systems (NeurIPS), 2859-2867, 2013	55	2013
Global visual-motor estimation for uncalibrated visual servoing A Farahmand, A Shademan, M Jagersand IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2007	46*	2007
Regularized policy iteration with nonparametric function spaces A Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor Journal of Machine Learning Research (JMLR) 17 (1), 4809-4874, 2016	36	2016
Model Selection in Reinforcement Learning AM Farahmand, C Szepesvári Machine learning 85 (3), 299-332, 2011	34	2011
Action-Gap Phenomenon in Reinforcement Learning AM Farahmand Neural Information Processing Systems (NeurIPS), 2011	26	2011
Approximate MaxEnt Inverse Optimal Control and its Application for Mental Simulation of Human Interactions DA Huang, AM Farahmand, KM Kitani, JA Bagnell AAAI Conference on Artificial Intelligence (AAAI), 2015	23	2015
Model-based and model-free reinforcement learning for visual servoing A Farahmand, A Shademan, M Jagersand, C Szepesvári IEEE International Conference on Robotics and Automation (ICRA), 2917-2924, 2009	23*	2009
Regularization in Reinforcement Learning AM Farahmand Department of Computing Science, University of Alberta, 2011	21	2011
Regularized Fitted Q-iteration: Application to Bounded Resource Planning A Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor	21*	2008
Regularized fitted Q-iteration: Application to planning AM Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor Recent Advances in Reinforcement Learning, 55-68, 2008	21*	2008
Interaction of Culture-based Learning and Cooperative Co-evolution and its Application to Automatic Behavior-based System Design AM Farahmand, MN Ahmadabadi, C Lucas, BN Araabi IEEE Transactions on Evolutionary Computation 14 (1), 23-57, 2010	19	2010
Value Pursuit Iteration A Farahmand, D Precup Advances in Neural Information Processing Systems (NeurIPS - 25), 1349-1357, 2012	18	2012
Attentional network for visual object detection K Hara, MY Liu, O Tuzel, A Farahmand arXiv preprint arXiv:1702.01478, 2017	16	2017
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces MM Fard, Y Grinberg, A Farahmand, J Pineau, D Precup Advances in Neural Information Processing Systems (NeurIPS), 3030--3038, 2013	16	2013
Deep reinforcement learning for partial differential equation control A Farahmand, S Nabi, DN Nikovski American Control Conference (ACC), 3120-3127, 2017	15	2017

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