Artikel dengan mandat akses publik - Shie MannorPelajari lebih lanjut
Tidak tersedia di mana pun: 1
Source estimation in time series and the surprising resilience of HMMs
M Kozdoba, S Mannor
IEEE Transactions on Information Theory 64 (8), 5555-5569, 2018
Mandat: European Commission
Tersedia di suatu tempat: 32
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
Mandat: Natural Sciences and Engineering Research Council of Canada
Thompson sampling for complex online problems
A Gopalan, S Mannor, Y Mansour
International conference on machine learning, 100-108, 2014
Mandat: European Commission
Optimizing the CVaR via sampling
A Tamar, Y Glassner, S Mannor
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Mandat: European Commission
Robust MDPs with k-Rectangular Uncertainty
S Mannor, O Mebel, H Xu
Mathematics of Operations Research 41 (4), 1484-1509, 2016
Mandat: A*Star, Singapore, European Commission
Scaling up robust MDPs using function approximation
A Tamar, S Mannor, H Xu
International conference on machine learning, 181-189, 2014
Mandat: European Commission
Nonstochastic multi-armed bandits with graph-structured feedback
N Alon, N Cesa-Bianchi, C Gentile, S Mannor, Y Mansour, O Shamir
SIAM Journal on Computing 46 (6), 1785-1826, 2017
Mandat: US National Science Foundation, Government of Italy
Policy gradient for coherent risk measures
A Tamar, Y Chow, M Ghavamzadeh, S Mannor
Advances in neural information processing systems 28, 2015
Mandat: European Commission
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.
A Artikis, M Weidlich, F Schnitzler, I Boutsis, T Liebig, N Piatkowski, ...
EDBT 14, 712-723, 2014
Mandat: German Research Foundation
Rotting bandits
N Levine, K Crammer, S Mannor
Advances in neural information processing systems 30, 2017
Mandat: European Commission
Thompson sampling for learning parameterized markov decision processes
A Gopalan, S Mannor
Conference on learning theory, 861-898, 2015
Mandat: European Commission
Finite sample analysis of two-timescale stochastic approximation with applications to reinforcement learning
G Dalal, G Thoppe, B Szörényi, S Mannor
Conference On Learning Theory, 1199-1233, 2018
Mandat: US National Science Foundation, European Commission
Regularized policy iteration with nonparametric function spaces
A Farahm, M Ghavamzadeh, C Szepesvári, S Mannor
Journal of Machine Learning Research 17 (139), 1-66, 2016
Mandat: Natural Sciences and Engineering Research Council of Canada
Consistent on-line off-policy evaluation
A Hallak, S Mannor
International Conference on Machine Learning, 1372-1383, 2017
Mandat: European Commission
Learning the variance of the reward-to-go
A Tamar, D Di Castro, S Mannor
Journal of Machine Learning Research 17 (13), 1-36, 2016
Mandat: European Commission
Rl for latent mdps: Regret guarantees and a lower bound
J Kwon, Y Efroni, C Caramanis, S Mannor
Advances in Neural Information Processing Systems 34, 24523-24534, 2021
Mandat: US National Science Foundation, US Department of Defense
Adaptive skills adaptive partitions (ASAP)
DJ Mankowitz, TA Mann, S Mannor
Advances in neural information processing systems 29, 2016
Mandat: European Commission
Approximate value iteration with temporally extended actions
TA Mann, S Mannor, D Precup
Journal of Artificial Intelligence Research 53, 375-438, 2015
Mandat: Natural Sciences and Engineering Research Council of Canada, European Commission
Scaling up approximate value iteration with options: Better policies with fewer iterations
T Mann, S Mannor
International conference on machine learning, 127-135, 2014
Mandat: European Commission
Generalized emphatic temporal difference learning: Bias-variance analysis
A Hallak, A Tamar, R Munos, S Mannor
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Mandat: European Commission
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