Amir Massoud Farahmand

发表

Regularized Fitted Q-iteration: Application to Planning

Shie Mannor, Csaba Szepesvári, Mohammad Ghavamzadeh, 2008, EWRL.

Hybrid Behavior Co-evolution and Structure Learning in Behavior-based Systems

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Caro Lucas, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Towards Learning Robotic Reaching and Pointing: An Uncalibrated Visual Servoing Approach

Martin Jägersand, Azad Shademan, Amir Massoud Farahmand, 2009, 2009 Canadian Conference on Computer and Robot Vision.

Manifold-Adaptive Dimension Estimation

Csaba Szepesvári, Jean-Yves Audibert, Amir Massoud Farahmand, 2007, ICML '07.

Interaction of Culture-based Learning and Cooperative Co-evolution and its Application to Automatic Behavior-based System Design

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Caro Lucas, 2010, IEEE Transactions on Evolutionary Computation.

Learning to Coordinate Behaviors in Soft Behavior-Based Systems Using Reinforcement Learning

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Amir Massoud Farahmand, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Error Propagation for Approximate Policy and Value Iteration

Csaba Szepesvári, Rémi Munos, Amir Massoud Farahmand, 2010, NIPS.

Global Visual-Motor Estimation for Uncalibrated Visual Servoing

Martin Jägersand, Azad Shademan, Amir Massoud Farahmand, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Regularized Policy Iteration

Shie Mannor, Csaba Szepesvári, Mohammad Ghavamzadeh, 2008, NIPS.

Robust Jacobian Estimation for Uncalibrated Visual Servoing

Martin Jägersand, Azad Shademan, Amir Massoud Farahmand, 2010, 2010 IEEE International Conference on Robotics and Automation.

Value-Aware Loss Function for Model-based Reinforcement Learning

Daniel Nikovski, André Barreto, Amir Massoud Farahmand, 2017, AISTATS.

Model Selection in Reinforcement Learning

Csaba Szepesvári, Amir Massoud Farahmand, Csaba Szepesvari, 2011, Machine Learning.

Behavior hierarchy learning in a behavior-based system using reinforcement learning

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Amir Massoud Farahmand, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Channel Assignment Using Chaotic Simulated Annealing Enhanced Hopfield Neural Network [IJCNN1712]

Mohammad Javad Yazdanpanah, Amir Massoud Farahmand, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Bellman Error Based Feature Generation using Random Projections on Sparse Spaces

Joelle Pineau, Doina Precup, Yuri Grinberg, 2013, NIPS.

Action-Gap Phenomenon in Reinforcement Learning

Amir Massoud Farahmand, A. Farahmand, 2011, NIPS.

Model-based and Model-free Reinforcement Learning for Visual Servoing

Csaba Szepesvári, Martin Jägersand, Azad Shademan, 2009, 2009 IEEE International Conference on Robotics and Automation.

Value Pursuit Iteration

Doina Precup, Amir Massoud Farahmand, 2012, NIPS.

PID Accelerated Value Iteration Algorithm

Mohammad Ghavamzadeh, Amir Massoud Farahmand, A. Farahmand, 2021, ICML.

An Experimental Evaluation of Reinforcement Learning for Gain Scheduling

Eric Moulines, Olivier Teytaud, Alessandra Russo, 2003, HIS.