other persons with the same name:
2008 | ||
---|---|---|
16 | EE | Lihong Li: A worst-case comparison between temporal difference and residual gradient with linear function approximation. ICML 2008: 560-567 |
15 | EE | Lihong Li, Michael L. Littman, Thomas J. Walsh: Knows what it knows: a framework for self-aware learning. ICML 2008: 568-575 |
14 | EE | Ronald Parr, Lihong Li, Gavin Taylor, Christopher Painter-Wakefield, Michael L. Littman: An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning. ICML 2008: 752-759 |
13 | EE | John Langford, Lihong Li, Tong Zhang: Sparse Online Learning via Truncated Gradient. NIPS 2008: 905-912 |
12 | EE | Emma Brunskill, Bethany R. Leffler, Lihong Li, Michael L. Littman, Nicholas Roy: CORL: A Continuous-state Offset-dynamics Reinforcement Learner. UAI 2008: 53-61 |
11 | EE | John Langford, Lihong Li, Tong Zhang: Sparse Online Learning via Truncated Gradient CoRR abs/0806.4686: (2008) |
2007 | ||
10 | EE | Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman: Planning and Learning in Environments with Delayed Feedback. ECML 2007: 442-453 |
9 | EE | Ronald Parr, Christopher Painter-Wakefield, Lihong Li, Michael L. Littman: Analyzing feature generation for value-function approximation. ICML 2007: 737-744 |
8 | EE | Jennifer Wortman, Yevgeniy Vorobeychik, Lihong Li, John Langford: Maintaining Equilibria During Exploration in Sponsored Search Auctions. WINE 2007: 119-130 |
7 | EE | Lihong Li, Vadim Bulitko, Russell Greiner: Focus of Attention in Reinforcement Learning. J. UCS 13(9): 1246-1269 (2007) |
2006 | ||
6 | EE | Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman: PAC model-free reinforcement learning. ICML 2006: 881-888 |
5 | EE | Alexander L. Strehl, Lihong Li, Michael L. Littman: Incremental Model-based Learners With Formal Learning-Time Guarantees. UAI 2006 |
2005 | ||
4 | Lihong Li, Michael L. Littman: Lazy Approximation for Solving Continuous Finite-Horizon MDPs. AAAI 2005: 1175-1180 | |
2004 | ||
3 | EE | Lihong Li, Vadim Bulitko, Russell Greiner: Batch Reinforcement Learning with State Importance. ECML 2004: 566-568 |
2003 | ||
2 | EE | Ilya Levner, Vadim Bulitko, Lihong Li, Greg Lee, Russell Greiner: Towards Automated Creation of Image Interpretation Systems. Australian Conference on Artificial Intelligence 2003: 653-665 |
1 | Vadim Bulitko, Lihong Li, Russell Greiner, Ilya Levner: Lookahead Pathologies for Single Agent Search. IJCAI 2003: 1531-1533 |
1 | Emma Brunskill | [12] |
2 | Vadim Bulitko | [1] [2] [3] [7] |
3 | Russell Greiner | [1] [2] [3] [7] |
4 | John Langford | [6] [8] [11] [13] |
5 | Greg Lee | [2] |
6 | Bethany R. Leffler | [12] |
7 | Ilya Levner | [1] [2] |
8 | Michael L. Littman | [4] [5] [6] [9] [10] [12] [14] [15] |
9 | Ali Nouri | [10] |
10 | Christopher Painter-Wakefield | [9] [14] |
11 | Ronald Parr | [9] [14] |
12 | Nicholas Roy | [12] |
13 | Alexander L. Strehl | [5] [6] |
14 | Gavin Taylor | [14] |
15 | Yevgeniy Vorobeychik | [8] |
16 | Thomas J. Walsh | [10] [15] |
17 | Eric Wiewiora | [6] |
18 | Jennifer Wortman | [8] |
19 | Tong Zhang | [11] [13] |