Amir-massoud Farahmand
Amir-massoud Farahmand
Vector Institute, University of Toronto
Email confirmado em vectorinstitute.ai - Página inicial
Título
Citado por
Citado por
Ano
Regularized Policy Iteration
A Farahmand, M Ghavamzadeh, S Mannor, C Szepesvári
Advances in Neural Information Processing Systems 21 (NeurIPS 2008), 441-448, 2009
1622009
Error propagation for approximate policy and value iteration
A Farahmand, C Szepesvári, R Munos
Advances in Neural Information Processing Systems (NeurIPS), 568-576, 2010
1602010
Manifold-adaptive dimension estimation
A Farahmand, C Szepesvári, JY Audibert
Proceedings of the 24th International Conference on Machine Learning (ICML …, 2007
932007
Learning from Limited Demonstrations
B Kim, A Farahmand, J Pineau, D Precup
Advances in Neural Information Processing Systems (NeurIPS), 2859-2867, 2013
922013
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
89*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
682010
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
592016
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
52*2007
Model Selection in Reinforcement Learning
AM Farahmand, C Szepesvári
Machine learning 85 (3), 299-332, 2011
492011
Value-aware loss function for model-based reinforcement learning
A Farahmand, A Barreto, D Nikovski
Artificial Intelligence and Statistics (AISTATS), 1486-1494, 2017
402017
Regularization in Reinforcement Learning
AM Farahmand
Department of Computing Science, University of Alberta, 2011
362011
Action-Gap Phenomenon in Reinforcement Learning
AM Farahmand
Neural Information Processing Systems (NeurIPS), 2011
352011
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
312015
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
29*2009
Deep reinforcement learning for partial differential equation control
A Farahmand, S Nabi, DN Nikovski
American Control Conference (ACC), 3120-3127, 2017
282017
Attentional network for visual object detection
K Hara, MY Liu, O Tuzel, A Farahmand
arXiv preprint arXiv:1702.01478, 2017
262017
Regularized Fitted Q-iteration: Application to Bounded Resource Planning
A Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor
26*2008
Regularized fitted Q-iteration: Application to planning
AM Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor
Recent Advances in Reinforcement Learning, 55-68, 2008
26*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
232010
Iterative Value-Aware Model Learning
A Farahmand
Advances in Neural Information Processing Systems (NeurIPS), 9072-9083, 2018
212018
O sistema não pode efectuar a operação agora. Tente novamente mais tarde.
Artigos 1–20