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Mohammad Ghavamzadeh
Mohammad Ghavamzadeh
Google Research
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Natural Actor–critic Algorithms
S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee
Automatica 45 (11), 2471-2482, 2009
895*2009
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
8702021
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
4392015
A Lyapunov-based Approach to Safe Reinforcement Learning
Y Chow, O Nachum, E Duenez-Guzman, M Ghavamzadeh
Neural Information Processing Systems, 8103-8112, 2018
4122018
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
3772017
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
2912012
High-confidence Off-policy Evaluation
P Thomas, G Theocharous, M Ghavamzadeh
AAAI, 3000-3006, 2015
2662015
Algorithms for CVaR Optimization in MDPs
Y Chow, M Ghavamzadeh
Advances in Neural Information Processing Systems, 3509-3517, 2014
2572014
More Robust Doubly Robust Off-policy Evaluation
M Farajtabar, Y Chow, M Ghavamzadeh
ICML, 1447-1456, 2018
2052018
Actor-Critic Algorithms for Risk-sensitive MDPs
LA Prashanth, M Ghavamzadeh
Neural Information Processing Systems, 252-260, 2013
196*2013
High Confidence Policy Improvement
P Thomas, G Theocharous, M Ghavamzadeh
ICML, 2380-2388, 2015
1932015
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
1872004
Safe Policy Learning for Continuous Control
Y Chow, O Nachum, A Faust, E Duenez-Guzman, M Ghavamzadeh
Conference on Robot Learning (CoRL), 2020
186*2020
Hierarchical Multi-agent Reinforcement Learning
R Makar, S Mahadevan, M Ghavamzadeh
International Conference on Autonomous Agents, 246-253, 2001
1802001
Speedy Q-learning
M Ghavamzadeh, H Kappen, M Azar, R Munos
Neural Information Processing Systems 24, 2411-2419, 2011
174*2011
Personalized Ad Recommendation Systems for Life-time Value Optimization with Guarantees
G Theocharous, PS Thomas, M Ghavamzadeh
IJCAI, 1806-1812, 2015
166*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
1662006
Regularized Policy Iteration
AM Farahmand, M Ghavamzadeh, C Szepesvári, S Mannor
Neural Information Processing Systems, 441-448, 2008
1622008
Finite-Sample Analysis of Proximal Gradient TD Algorithms
B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik
UAI, 504-513, 2015
157*2015
Benchmarking Batch Deep Reinforcement Learning Algorithms
S Fujimoto, E Conti, M Ghavamzadeh, J Pineau
arXiv preprint arXiv:1910.01708, 2019
1432019
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Artikelen 1–20