دنبال کردن
Tor Lattimore
Tor Lattimore
DeepMind
ایمیل تأیید شده در google.com - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Bandit algorithms‏
T Lattimore, C Szepesvári‏
Cambridge University Press, 2020‏
33872020
Unifying PAC and regret: Uniform PAC bounds for episodic reinforcement learning‏
C Dann, T Lattimore, E Brunskill‏
Advances in Neural Information Processing Systems 30, 2017‏
3412017
Causal bandits: Learning good interventions via causal inference‏
F Lattimore, T Lattimore, MD Reid‏
Advances in neural information processing systems 29, 2016‏
299*2016
Degenerate feedback loops in recommender systems‏
R Jiang, S Chiappa, T Lattimore, A György, P Kohli‏
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 383-390, 2019‏
2582019
Learning with good feature representations in bandits and in rl with a generative model‏
T Lattimore, C Szepesvari, G Weisz‏
International conference on machine learning, 5662-5670, 2020‏
2122020
Behaviour suite for reinforcement learning‏
I Osband, Y Doron, M Hessel, J Aslanides, E Sezener, A Saraiva, ...‏
arXiv preprint arXiv:1908.03568, 2019‏
2072019
PAC bounds for discounted MDPs‏
T Lattimore, M Hutter‏
Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon …, 2012‏
1532012
The end of optimism? an asymptotic analysis of finite-armed linear bandits‏
T Lattimore, C Szepesvari‏
Artificial Intelligence and Statistics, 728-737, 2017‏
1492017
On explore-then-commit strategies‏
A Garivier, T Lattimore, E Kaufmann‏
Advances in Neural Information Processing Systems 29, 2016‏
1432016
Conservative bandits‏
Y Wu, R Shariff, T Lattimore, C Szepesvári‏
International Conference on Machine Learning, 1254-1262, 2016‏
1402016
Model selection in contextual stochastic bandit problems‏
A Pacchiano, M Phan, Y Abbasi Yadkori, A Rao, J Zimmert, T Lattimore, ...‏
Advances in Neural Information Processing Systems 33, 10328-10337, 2020‏
1162020
A geometric perspective on optimal representations for reinforcement learning‏
M Bellemare, W Dabney, R Dadashi, A Ali Taiga, PS Castro, N Le Roux, ...‏
Advances in neural information processing systems 32, 2019‏
1082019
Garbage in, reward out: Bootstrapping exploration in multi-armed bandits‏
B Kveton, C Szepesvari, S Vaswani, Z Wen, T Lattimore, M Ghavamzadeh‏
International Conference on Machine Learning, 3601-3610, 2019‏
842019
Linear bandits with stochastic delayed feedback‏
C Vernade, A Carpentier, T Lattimore, G Zappella, B Ermis, M Brueckner‏
International Conference on Machine Learning, 9712-9721, 2020‏
832020
Toprank: A practical algorithm for online stochastic ranking‏
T Lattimore, B Kveton, S Li, C Szepesvari‏
Advances in Neural Information Processing Systems 31, 2018‏
832018
The sample-complexity of general reinforcement learning‏
T Lattimore, M Hutter, P Sunehag‏
International Conference on Machine Learning, 28-36, 2013‏
762013
Adaptive exploration in linear contextual bandit‏
B Hao, T Lattimore, C Szepesvari‏
International Conference on Artificial Intelligence and Statistics, 3536-3545, 2020‏
752020
An information-theoretic approach to minimax regret in partial monitoring‏
T Lattimore, C Szepesvári‏
Conference on Learning Theory, 2111-2139, 2019‏
752019
Bounded Regret for Finite-Armed Structured Bandits‏
T Lattimore, R Munos‏
732014
Near-optimal PAC bounds for discounted MDPs‏
T Lattimore, M Hutter‏
Theoretical Computer Science 558, 125-143, 2014‏
712014
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20