Amir-massoud Farahmand

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	All	Since 2016
Citations	1232	747
h-index	19	17
i10-index	25	18

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Co-authors

Csaba SzepesvariDeepMind & Department of Computing Science, University of AlbertaVerified email at cs.ualberta.ca
Mohammad GhavamzadehGoogle ResearchVerified email at google.com
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
Daniel NikovskiGroup Manager, Mitsubishi Electric Research LabsVerified email at merl.com
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
Azad ShademanIntuitive Surgical Inc.Verified email at intusurg.com
Martin JagersandUniversity of AlbertaVerified email at cs.ualberta.ca
Andre BarretoResearch Scientist, Google DeepMindVerified email at google.com
Babak N AraabiProfessor of ECE, University of TehranVerified email at ut.ac.ir
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
Rémi MunosDeepMindVerified email at inria.fr
Beomjoon KimKorea Advanced Institute of Science & Technology (KAIST)Verified email at kaist.ac.kr
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Saleh NabiPrincipal Research Scientist, Mitsubishi Electric Research LaboratoriesVerified email at merl.com
mouhacine benosmanMERL- Data Analytics GroupVerified email at merl.com
M. J. YazdanpanahProfessor of Electrical Engineering, School of ECE, University of TehranVerified email at ut.ac.ir
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	156	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	142	2010
Manifold-adaptive dimension estimation A Farahmand, C Szepesvári, JY Audibert Proceedings of the 24th International Conference on Machine Learning (ICML …, 2007	91	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	80*	2009
Learning from Limited Demonstrations B Kim, A Farahmand, J Pineau, D Precup Advances in Neural Information Processing Systems (NeurIPS), 2859-2867, 2013	79	2013
Robust jacobian estimation for uncalibrated visual servoing A Shademan, A Farahmand, M Jägersand IEEE International Conference on Robotics and Automation (ICRA), 5564-5569, 2010	65	2010
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	52	2016
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	48*	2007
Model Selection in Reinforcement Learning AM Farahmand, C Szepesvári Machine learning 85 (3), 299-332, 2011	43	2011
Action-Gap Phenomenon in Reinforcement Learning AM Farahmand Neural Information Processing Systems (NeurIPS), 2011	33	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	30	2015
Value-aware loss function for model-based reinforcement learning A Farahmand, A Barreto, D Nikovski Artificial Intelligence and Statistics (AISTATS), 1486-1494, 2017	29	2017
Regularization in Reinforcement Learning AM Farahmand Department of Computing Science, University of Alberta, 2011	28	2011
Regularized Fitted Q-iteration: Application to Bounded Resource Planning A Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor	25*	2008
Regularized fitted Q-iteration: Application to planning AM Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor Recent Advances in Reinforcement Learning, 55-68, 2008	25*	2008
Attentional network for visual object detection K Hara, MY Liu, O Tuzel, A Farahmand arXiv preprint arXiv:1702.01478, 2017	24	2017
Deep reinforcement learning for partial differential equation control A Farahmand, S Nabi, DN Nikovski American Control Conference (ACC), 3120-3127, 2017	23	2017
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
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	21	2010
Value Pursuit Iteration A Farahmand, D Precup Advances in Neural Information Processing Systems (NeurIPS - 25), 1349-1357, 2012	20	2012

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