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Amir-massoud Farahmand
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Error propagation for approximate policy and value iteration
A Farahmand, C Szepesvári, R Munos
Advances in Neural Information Processing Systems (NeurIPS), 568-576, 2010
2542010
Regularized Policy Iteration
A Farahmand, M Ghavamzadeh, S Mannor, C Szepesvári
Advances in Neural Information Processing Systems 21 (NeurIPS 2008), 441-448, 2009
1622009
Manifold-adaptive dimension estimation
A Farahmand, C Szepesvári, JY Audibert
Proceedings of the 24th International Conference on Machine Learning (ICML …, 2007
1362007
Learning from Limited Demonstrations
B Kim, A Farahmand, J Pineau, D Precup
Advances in Neural Information Processing Systems (NeurIPS), 2859-2867, 2013
1312013
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
123*2016
Value-aware loss function for model-based reinforcement learning
A Farahmand, A Barreto, D Nikovski
Artificial Intelligence and Statistics (AISTATS), 1486-1494, 2017
1152017
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
96*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
852010
Model Selection in Reinforcement Learning
AM Farahmand, C Szepesvári
Machine learning 85 (3), 299-332, 2011
692011
Iterative Value-Aware Model Learning
A Farahmand
Advances in Neural Information Processing Systems (NeurIPS), 9072-9083, 2018
642018
Action-Gap Phenomenon in Reinforcement Learning
AM Farahmand
Neural Information Processing Systems (NeurIPS), 2011
622011
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
53*2007
Deep reinforcement learning for partial differential equation control
A Farahmand, S Nabi, DN Nikovski
American Control Conference (ACC), 3120-3127, 2017
472017
Regularization in Reinforcement Learning
AM Farahmand
Department of Computing Science, University of Alberta, 2011
452011
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
39*2009
Attentional network for visual object detection
K Hara, MY Liu, O Tuzel, A Farahmand
arXiv preprint arXiv:1702.01478, 2017
382017
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
322015
Policy-aware model learning for policy gradient methods
R Abachi, M Ghavamzadeh, A Farahmand
arXiv:2003.00030, 2020
312020
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
262010
Method for Data-Driven Learning-based Control of HVAC Systems using High-Dimensional Sensory Observations
A Farahmand, S Nabi, P Grover, DN Nikovski
US Patent App. 15/290,038, 2018
242018
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