| A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning S Ross, GJ Gordon, JA Bagnell Proceedings of the 14th International Conference on Artificial Intelligence …, 2011 | 3525 | 2011 |
| Relational learning via collective matrix factorization AP Singh, GJ Gordon Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 1484 | 2008 |
| Point-based value iteration: An anytime algorithm for POMDPs J Pineau, G Gordon, S Thrun Ijcai 3, 1025-1032, 2003 | 1481 | 2003 |
| ARA*: Anytime A* with provable bounds on sub-optimality M Likhachev, GJ Gordon, S Thrun Advances in neural information processing systems 16, 2003 | 1052 | 2003 |
| Anytime dynamic A*: An anytime, replanning algorithm. M Likhachev, DI Ferguson, GJ Gordon, A Stentz, S Thrun ICAPS 5, 262-271, 2005 | 869 | 2005 |
| Stable function approximation in dynamic programming GJ Gordon Proc. Int'l Conf. on Machine Learning (ICML), 261-268, 1995 | 751 | 1995 |
| An Empirical Study of Example Forgetting during Deep Neural Network Learning M Toneva, A Sordoni, R Tachet des Combes, A Trischler, Y Bengio, ... ICLR, 2019 | 703 | 2019 |
| Automatic database management system tuning through large-scale machine learning. DV Aken, A Pavlo, GJ Gordon, B Zhang. SIGMOD, 2017 | 697 | 2017 |
| On learning invariant representations for domain adaptation. H Zhao, R Tachet des Combes, K Zhang, G Gordon ICML, 2019 | 664 | 2019 |
| Individualized bayesian knowledge tracing models MV Yudelson, KR Koedinger, GJ Gordon Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 662 | 2013 |
| Adversarial Multiple Source Domain Adaptation H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon NeurIPS, 2018 | 619 | 2018 |
| Anytime point-based approximations for large POMDPs J Pineau, G Gordon, S Thrun Journal of Artificial Intelligence Research 27, 335-380, 2006 | 523 | 2006 |
| Decentralized estimation and control of graph connectivity for mobile sensor networks P Yang, RA Freeman, GJ Gordon, KM Lynch, SS Srinivasa, R Sukthankar Automatica 46 (2), 390-396, 2010 | 509 | 2010 |
| Finding approximate POMDP solutions through belief compression N Roy, G Gordon, S Thrun Journal of artificial intelligence research 23, 1-40, 2005 | 439 | 2005 |
| Planning in the presence of cost functions controlled by an adversary HB McMahan, GJ Gordon, A Blum Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 394 | 2003 |
| Anytime search in dynamic graphs M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun Artificial Intelligence 172 (14), 1613-1643, 2008 | 348 | 2008 |
| An evaluation of machine-learning methods for predicting pneumonia mortality GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ... Artificial intelligence in medicine 9 (2), 107-138, 1997 | 298 | 1997 |
| Visibility-based pursuit-evasion with limited field of view BP Gerkey, S Thrun, G Gordon The International Journal of Robotics Research 25 (4), 299-315, 2006 | 295 | 2006 |
| Closing the learning-planning loop with predictive state representations B Boots, SM Siddiqi, GJ Gordon. International Journal of Robotics Research 30 (7), 954–966, 2011 | 285 | 2011 |
| Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. W Sun, A Venkatraman, G Gordon, B Boots, D Bagnell. ICML, 2017 | 280 | 2017 |
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
