Amir-massoud Farahmand
Amir-massoud Farahmand
Vector Institute
Verified email at vectorinstitute.ai - Homepage
TitleCited byYear
Regularized Policy Iteration
A Farahmand, M Ghavamzadeh, S Mannor, C Szepesvári
Advances in Neural Information Processing Systems 21 (NeurIPS 2008), 441-448, 2009
1432009
Error propagation for approximate policy and value iteration
A Farahmand, C Szepesvári, R Munos
Advances in Neural Information Processing Systems (NeurIPS), 568-576, 2010
1052010
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
73*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
542010
Learning from Limited Demonstrations
B Kim, A Farahmand, J Pineau, D Precup
Advances in Neural Information Processing Systems (NeurIPS), 2859-2867, 2013
502013
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
Model Selection in Reinforcement Learning
AM Farahmand, C Szepesvári
Machine learning 85 (3), 299-332, 2011
322011
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
292016
Action-Gap Phenomenon in Reinforcement Learning
AM Farahmand
Neural Information Processing Systems (NeurIPS), 2011
242011
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
222015
Regularization in Reinforcement Learning
AM Farahmand
Department of Computing Science, University of Alberta, 2011
202011
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
20*2009
Regularized Fitted Q-iteration: Application to Bounded Resource Planning
A Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor
20*2008
Regularized fitted Q-iteration: Application to planning
AM Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor
Recent Advances in Reinforcement Learning, 55-68, 2008
20*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
182010
Value Pursuit Iteration
A Farahmand, D Precup
Advances in Neural Information Processing Systems (NeurIPS - 25), 1349-1357, 2012
172012
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
152013
Attentional network for visual object detection
K Hara, MY Liu, O Tuzel, A Farahmand
arXiv preprint arXiv:1702.01478, 2017
142017
Deep reinforcement learning for partial differential equation control
A Farahmand, S Nabi, DN Nikovski
American Control Conference (ACC), 3120-3127, 2017
132017
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