Lihong Li (李力鸿)
Lihong Li (李力鸿)
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Title
Cited by
Cited by
Year
A contextual-bandit approach to personalized news article recommendation
L Li, W Chu, J Langford, RE Schapire
Proceedings of the 19th international conference on World wide web, 661-670, 2010
20892010
Parallelized stochastic gradient descent.
M Zinkevich, M Weimer, AJ Smola, L Li
NIPS 4 (1), 4, 2010
12652010
An empirical evaluation of thompson sampling
O Chapelle, L Li
Advances in neural information processing systems 24, 2249-2257, 2011
11542011
Contextual bandits with linear payoff functions
W Chu, L Li, L Reyzin, R Schapire
Proceedings of the Fourteenth International Conference on Artificial …, 2011
6772011
Sparse Online Learning via Truncated Gradient.
J Langford, L Li, T Zhang
Journal of Machine Learning Research 10 (3), 2009
5252009
Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
L Li, W Chu, J Langford, X Wang
Proceedings of the fourth ACM international conference on Web search and …, 2011
4932011
PAC model-free reinforcement learning
AL Strehl, L Li, E Wiewiora, J Langford, ML Littman
Proceedings of the 23rd international conference on Machine learning, 881-888, 2006
4602006
Doubly robust policy evaluation and learning
M Dudík, J Langford, L Li
arXiv preprint arXiv:1103.4601, 2011
4352011
Doubly Robust Policy Evaluation and Learning
M Dudık, J Langford, L Li
435*
Neural approaches to conversational ai
J Gao, M Galley, L Li
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
4312018
Towards a Unified Theory of State Abstraction for MDPs.
L Li, TJ Walsh, ML Littman
ISAIM 4, 5, 2006
3522006
Taming the monster: A fast and simple algorithm for contextual bandits
A Agarwal, D Hsu, S Kale, J Langford, L Li, R Schapire
International Conference on Machine Learning, 1638-1646, 2014
3452014
Doubly robust off-policy value evaluation for reinforcement learning
N Jiang, L Li
International Conference on Machine Learning, 652-661, 2016
3262016
Reinforcement Learning in Finite MDPs: PAC Analysis.
AL Strehl, L Li, ML Littman
Journal of Machine Learning Research 10 (11), 2009
2882009
End-to-end task-completion neural dialogue systems
X Li, YN Chen, L Li, J Gao, A Celikyilmaz
arXiv preprint arXiv:1703.01008, 2017
2872017
Knows what it knows: a framework for self-aware learning
L Li, ML Littman, TJ Walsh
Proceedings of the 25th international conference on Machine learning, 568-575, 2008
2812008
Towards end-to-end reinforcement learning of dialogue agents for information access
B Dhingra, L Li, X Li, J Gao, YN Chen, F Ahmed, L Deng
arXiv preprint arXiv:1609.00777, 2016
2682016
Neuro-symbolic program synthesis
E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli
arXiv preprint arXiv:1611.01855, 2016
2462016
Contextual bandit algorithms with supervised learning guarantees
A Beygelzimer, J Langford, L Li, L Reyzin, RE Schapire
Arxiv preprint arXiv:1002.4058, 2010
2342010
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
R Parr, L Li, G Taylor, C Painter-Wakefield, ML Littman
Proceedings of the 25th international conference on Machine learning, 752-759, 2008
2002008
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Articles 1–20