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Mohammad Ghavamzadeh
Mohammad Ghavamzadeh
Amazon
Подтвержден адрес электронной почты в домене amazon.com - Главная страница
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Процитировано
Процитировано
Год
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
22772021
Natural Actor–critic Algorithms
S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee
Automatica 45 (11), 2471-2482, 2009
1110*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
6202018
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
6092017
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
5792015
Algorithms for CVaR Optimization in MDPs
Y Chow, M Ghavamzadeh
Advances in Neural Information Processing Systems, 3509-3517, 2014
3952014
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
3592012
High-confidence Off-policy Evaluation
P Thomas, G Theocharous, M Ghavamzadeh
AAAI, 3000-3006, 2015
3352015
Actor-Critic Algorithms for Risk-sensitive MDPs
LA Prashanth, M Ghavamzadeh
Neural Information Processing Systems, 252-260, 2013
332*2013
Safe Policy Learning for Continuous Control
Y Chow, O Nachum, A Faust, E Duenez-Guzman, M Ghavamzadeh
Conference on Robot Learning (CoRL), 2020
299*2020
More Robust Doubly Robust Off-policy Evaluation
M Farajtabar, Y Chow, M Ghavamzadeh
ICML, 1447-1456, 2018
2892018
High Confidence Policy Improvement
P Thomas, G Theocharous, M Ghavamzadeh
ICML, 2380-2388, 2015
2242015
Speedy Q-learning
M Ghavamzadeh, H Kappen, M Azar, R Munos
Neural Information Processing Systems 24, 2411-2419, 2011
222*2011
Benchmarking Batch Deep Reinforcement Learning Algorithms
S Fujimoto, E Conti, M Ghavamzadeh, J Pineau
arXiv preprint arXiv:1910.01708, 2019
2102019
Aligning text-to-image models using human feedback
K Lee, H Liu, M Ryu, O Watkins, Y Du, C Boutilier, P Abbeel, ...
arXiv preprint arXiv:2302.12192, 2023
2072023
Personalized Ad Recommendation Systems for Life-time Value Optimization with Guarantees
G Theocharous, PS Thomas, M Ghavamzadeh
IJCAI, 1806-1812, 2015
207*2015
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
2002004
Hierarchical Multi-agent Reinforcement Learning
R Makar, S Mahadevan, M Ghavamzadeh
International Conference on Autonomous Agents, 246-253, 2001
1972001
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
1812006
Finite-Sample Analysis of Proximal Gradient TD Algorithms
B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik
UAI, 504-513, 2015
180*2015
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Статьи 1–20