A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ... Information Fusion, 2021 | 1869 | 2021 |
Natural Actor–critic Algorithms S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee Automatica 45 (11), 2471-2482, 2009 | 1073* | 2009 |
A Lyapunov-based Approach to Safe Reinforcement Learning Y Chow, O Nachum, E Duenez-Guzman, M Ghavamzadeh Neural Information Processing Systems, 8103-8112, 2018 | 565 | 2018 |
Risk-constrained Reinforcement Learning with Percentile Risk Criteria Y Chow, M Ghavamzadeh, L Janson, M Pavone Journal of Machine Learning Research (JMLR) 18, 6070-6120, 2017 | 550 | 2017 |
Bayesian Reinforcement Learning: A Survey M Ghavamzadeh, S Mannor, J Pineau, A Tamar Foundations and Trends in Machine Learning 8 (5-6), 359-483, 2015 | 541 | 2015 |
Algorithms for CVaR Optimization in MDPs Y Chow, M Ghavamzadeh Advances in Neural Information Processing Systems, 3509-3517, 2014 | 370 | 2014 |
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence V Gabillon, M Ghavamzadeh, A Lazaric Neural Information Processing Systems, 3221-3229, 2012 | 342 | 2012 |
High-confidence Off-policy Evaluation P Thomas, G Theocharous, M Ghavamzadeh AAAI, 3000-3006, 2015 | 315 | 2015 |
Actor-Critic Algorithms for Risk-sensitive MDPs LA Prashanth, M Ghavamzadeh Neural Information Processing Systems, 252-260, 2013 | 308* | 2013 |
More Robust Doubly Robust Off-policy Evaluation M Farajtabar, Y Chow, M Ghavamzadeh ICML, 1447-1456, 2018 | 270 | 2018 |
Safe Policy Learning for Continuous Control Y Chow, O Nachum, A Faust, E Duenez-Guzman, M Ghavamzadeh Conference on Robot Learning (CoRL), 2020 | 265* | 2020 |
High Confidence Policy Improvement P Thomas, G Theocharous, M Ghavamzadeh ICML, 2380-2388, 2015 | 220 | 2015 |
Speedy Q-learning M Ghavamzadeh, H Kappen, M Azar, R Munos Neural Information Processing Systems 24, 2411-2419, 2011 | 209* | 2011 |
Supervised actor-critic reinforcement learning MT Rosenstein, AG Barto, J Si, A Barto, W Powell, D Wunsch Learning and approximate dynamic programming: scaling up to the real world …, 2004 | 198 | 2004 |
Personalized Ad Recommendation Systems for Life-time Value Optimization with Guarantees G Theocharous, PS Thomas, M Ghavamzadeh IJCAI, 1806-1812, 2015 | 196* | 2015 |
Hierarchical Multi-agent Reinforcement Learning R Makar, S Mahadevan, M Ghavamzadeh International Conference on Autonomous Agents, 246-253, 2001 | 193 | 2001 |
Benchmarking Batch Deep Reinforcement Learning Algorithms S Fujimoto, E Conti, M Ghavamzadeh, J Pineau arXiv preprint arXiv:1910.01708, 2019 | 191 | 2019 |
Finite-Sample Analysis of Proximal Gradient TD Algorithms B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik UAI, 504-513, 2015 | 175* | 2015 |
Hierarchical Multi-agent Reinforcement Learning M Ghavamzadeh, S Mahadevan, R Makar Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) 13 (2), 197-229, 2006 | 175 | 2006 |
Regularized Policy Iteration AM Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor Neural Information Processing Systems, 441-448, 2008 | 162 | 2008 |