متابعة
Amir-massoud Farahmand
Amir-massoud Farahmand
Polytechnique Montreal, Mila, University of Toronto
بريد إلكتروني تم التحقق منه على cs.toronto.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Error propagation for approximate policy and value iteration‏
A Farahmand, C Szepesvári, R Munos‏
Advances in Neural Information Processing Systems (NeurIPS), 568-576, 2010‏
2862010
Regularized Policy Iteration‏
A Farahmand, M Ghavamzadeh, S Mannor, C Szepesvári‏
Advances in Neural Information Processing Systems 21 (NeurIPS 2008), 441-448, 2009‏
1682009
Learning from Limited Demonstrations‏
B Kim, A Farahmand, J Pineau, D Precup‏
Advances in Neural Information Processing Systems (NeurIPS), 2859-2867, 2013‏
1482013
Manifold-adaptive dimension estimation‏
A Farahmand, C Szepesvári, JY Audibert‏
Proceedings of the 24th International Conference on Machine Learning (ICML …, 2007‏
1472007
Value-aware loss function for model-based reinforcement learning‏
A Farahmand, A Barreto, D Nikovski‏
Artificial Intelligence and Statistics (AISTATS), 1486-1494, 2017‏
1382017
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
131*2016
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
98*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
882010
Model Selection in Reinforcement Learning‏
AM Farahmand, C Szepesvári‏
Machine learning 85 (3), 299-332, 2011‏
822011
Iterative Value-Aware Model Learning‏
A Farahmand‏
Advances in Neural Information Processing Systems (NeurIPS), 9072-9083, 2018‏
752018
Action-Gap Phenomenon in Reinforcement Learning‏
AM Farahmand‏
Neural Information Processing Systems (NeurIPS), 2011‏
692011
Deep reinforcement learning for partial differential equation control‏
A Farahmand, S Nabi, DN Nikovski‏
American Control Conference (ACC), 3120-3127, 2017‏
562017
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
Regularization in Reinforcement Learning‏
AM Farahmand‏
Department of Computing Science, University of Alberta, 2011‏
462011
Attentional network for visual object detection‏
K Hara, MY Liu, O Tuzel, A Farahmand‏
arXiv preprint arXiv:1702.01478, 2017‏
422017
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
41*2009
Policy-aware model learning for policy gradient methods‏
R Abachi, M Ghavamzadeh, A Farahmand‏
arXiv:2003.00030, 2020‏
402020
Value Gradient weighted Model-Based Reinforcement Learning‏
CA Voelcker, V Liao, A Garg, A Farahmand‏
International Conference on Learning Representations (ICLR), 2022‏
332022
Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning‏
M Akrout, A Farahmand, T Jarmain, L Abid‏
International Conference on Medical Image Computing and Computer Assisted …, 2019‏
332019
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
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مقالات 1–20