| 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 | 3470 | 2010 |
| An empirical evaluation of thompson sampling O Chapelle, L Li Advances in neural information processing systems 24, 2011 | 1853 | 2011 |
| Parallelized stochastic gradient descent M Zinkevich, M Weimer, L Li, A Smola Advances in neural information processing systems 23, 2010 | 1788 | 2010 |
| Contextual bandits with linear payoff functions W Chu, L Li, L Reyzin, R Schapire Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 1270 | 2011 |
| Neural approaches to conversational AI J Gao, M Galley, L Li The 41st international ACM SIGIR conference on research & development in …, 2018 | 946 | 2018 |
| Doubly robust policy evaluation and learning M Dudík, J Langford, L Li arXiv preprint arXiv:1103.4601, 2011 | 893 | 2011 |
| Doubly Robust Policy Evaluation and Learning M Dudık, J Langford, L Li | 893* | |
| Doubly robust off-policy value evaluation for reinforcement learning N Jiang, L Li International conference on machine learning, 652-661, 2016 | 834 | 2016 |
| 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 | 685 | 2011 |
| 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 | 642 | 2006 |
| Towards a unified theory of state abstraction for MDPs. L Li, TJ Walsh, ML Littman AI&M 1 (2), 3, 2006 | 620 | 2006 |
| Sparse Online Learning via Truncated Gradient. J Langford, L Li, T Zhang Journal of Machine Learning Research 10 (3), 2009 | 597 | 2009 |
| 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 | 576 | 2014 |
| 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 | 543* | 2016 |
| Doubly robust policy evaluation and optimization M Dudík, D Erhan, J Langford, L Li | 488 | 2014 |
| End-to-end task-completion neural dialogue systems X Li, YN Chen, L Li, J Gao, A Celikyilmaz arXiv preprint arXiv:1703.01008, 2017 | 462 | 2017 |
| Neuro-symbolic program synthesis E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli arXiv preprint arXiv:1611.01855, 2016 | 419 | 2016 |
| Breaking the curse of horizon: Infinite-horizon off-policy estimation Q Liu, L Li, Z Tang, D Zhou Advances in neural information processing systems 31, 2018 | 388 | 2018 |
| Reinforcement Learning in Finite MDPs: PAC Analysis. AL Strehl, L Li, ML Littman Journal of Machine Learning Research 10 (11), 2009 | 381 | 2009 |
| Contextual bandit algorithms with supervised learning guarantees A Beygelzimer, J Langford, L Li, L Reyzin, RE Schapire Arxiv preprint arXiv:1002.4058, 2010 | 370 | 2010 |
John LangfordMicrosoft Research New York在 hunch.net 的电子邮件经过验证
