| Learning Representations in Model-Free Hierarchical Reinforcement Learning J Rafati, DC Noelle 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, HI, 2019 | 59 | 2019 |
| Improving L-BFGS Initialization For Trust-Region Methods In Deep Learning J Rafati, RF Marcia 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 25 | 2018 |
| Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement Learning J Rafati, DC Noelle 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Workshop on …, 2019 | 17 | 2019 |
| Small scale effects on the stability of carbon nano-peapods under radial pressure M Asghari, R Naghdabadi, J Rafati-Heravi Physica E: Low-dimensional Systems and Nanostructures 43 (5), 1050-1055, 2011 | 15 | 2011 |
| Quasi-Newton Optimization Methods For Deep Learning Applications J Rafati, RF Marcia arXiv preprint arXiv:1909.01994, 2019 | 12 | 2019 |
| Lateral Inhibition Overcomes Limits of Temporal Difference Learning. J Rafati, DC Noelle 37th Annual Cognitive Science Society Meeting, 1931-1936, 2015 | 11 | 2015 |
| Torsional instability of carbon nano-peapods based on the nonlocal elastic shell theory M Asghari, J Rafati, R Naghdabadi Physica E: Low-dimensional Systems and Nanostructures 47, 316-323, 2013 | 11 | 2013 |
| Sparse coding of learned state representations in reinforcement learning J Rafati, DC Noelle Conference on Cognitive Computational Neuroscience, New York City, NY, USA, 2017 | 10 | 2017 |
| Trust-region minimization algorithm for training responses (TRMinATR): The rise of machine learning techniques J Rafati, O DeGuchy, RF Marcia 2018 26th European Signal Processing Conference (EUSIPCO), 2015-2019, 2018 | 9 | 2018 |
| Learning Representations in Reinforcement Learning JR Heravi PQDT-Global, 2019 | 6 | 2019 |
| Unsupervised subgoal discovery method for learning hierarchical representations J Rafati, DC Noelle 7th International Conference on Learning Representations, ICLR 2019 Workshop …, 2019 | 5 | 2019 |
| Efficient exploration through intrinsic motivation learning for unsupervised subgoal discovery in model-free hierarchical reinforcement learning J Rafati, DC Noelle arXiv preprint arXiv:1911.10164, 2019 | 4 | 2019 |
| Learning sparse representations in reinforcement learning J Rafati, DC Noelle arXiv preprint arXiv:1909.01575, 2019 | 4 | 2019 |
| Deep Reinforcement Learning via L-BFGS Optimization J Rafati, RF Marcia arXiv preprint arXiv:1811.02693, 2019 | 2 | 2019 |
| Variational principles for the stability analysis of multi-walled carbon nanotubes based on a nonlocal elastic shell model M Asghari, J Rafati ASME Proc Micro Nanotechnol, 591-598, 2010 | 2 | 2010 |
| Learning Representations in Reinforcement Learning J Rafati Heravi University of California, Merced, 2019 | 1 | 2019 |
| Learning Representations in Model-Free Hierarchical Reinforcement Learning JRDC Noelle arXiv preprint arXiv:1810.10096, 2018 | | 2018 |
| Effects of DNA Encapsulation on Buckling Instability of Carbon Nanotube Based on Nonlocal Elasticity Theory J Rafati, M Asghari, S Goyal International Design Engineering Technical Conferences and Computers and …, 2014 | | 2014 |
Roummel MarciaProfessor of Applied Mathematics, University of California, MercedVerified email at ucmerced.edu
