Lihong Li

other persons with the same name:

• Lihong Li

	2009
20		Lihong Li, Michael L. Littman, Christopher R. Mansley: Online exploration in least-squares policy iteration. AAMAS (2) 2009: 733-739
19		David Wingate, Carlos Diuk, Lihong Li, Matthew Taylor, Jordan Frank: Workshop summary: Results of the 2009 reinforcement learning competition. ICML 2009: 166
18		Carlos Diuk, Lihong Li, Bethany R. Leffler: The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning. ICML 2009: 32
17		Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman: Learning and planning in environments with delayed feedback. Autonomous Agents and Multi-Agent Systems 18(1): 83-105 (2009)
	2008
16		Lihong Li: A worst-case comparison between temporal difference and residual gradient with linear function approximation. ICML 2008: 560-567
15		Lihong Li, Michael L. Littman, Thomas J. Walsh: Knows what it knows: a framework for self-aware learning. ICML 2008: 568-575
14		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		John Langford, Lihong Li, Tong Zhang: Sparse Online Learning via Truncated Gradient. NIPS 2008: 905-912
12		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		John Langford, Lihong Li, Tong Zhang: Sparse Online Learning via Truncated Gradient CoRR abs/0806.4686: (2008)
	2007
10		Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman: Planning and Learning in Environments with Delayed Feedback. ECML 2007: 442-453
9		Ronald Parr, Christopher Painter-Wakefield, Lihong Li, Michael L. Littman: Analyzing feature generation for value-function approximation. ICML 2007: 737-744
8		Jennifer Wortman, Yevgeniy Vorobeychik, Lihong Li, John Langford: Maintaining Equilibria During Exploration in Sponsored Search Auctions. WINE 2007: 119-130
7		Lihong Li, Vadim Bulitko, Russell Greiner: Focus of Attention in Reinforcement Learning. J. UCS 13(9): 1246-1269 (2007)
	2006
6		Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman: PAC model-free reinforcement learning. ICML 2006: 881-888
5		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		Lihong Li, Vadim Bulitko, Russell Greiner: Batch Reinforcement Learning with State Importance. ECML 2004: 566-568
	2003
2		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

Coauthor Index

1	Emma Brunskill	[12]
2	Vadim Bulitko	[1] [2] [3] [7]
3	Carlos Diuk	[18] [19]
4	Jordan Frank	[19]
5	Russell Greiner	[1] [2] [3] [7]
6	John Langford	[6] [8] [11] [13]
7	Greg Lee	[2]
8	Bethany R. Leffler	[12] [18]
9	Ilya Levner	[1] [2]
10	Michael L. Littman	[4] [5] [6] [9] [10] [12] [14] [15] [17] [20]
11	Christopher R. Mansley	[20]
12	Ali Nouri	[10] [17]
13	Christopher Painter-Wakefield	[9] [14]
14	Ronald Parr	[9] [14]
15	Nicholas Roy	[12]
16	Alexander L. Strehl	[5] [6]
17	Gavin Taylor	[14]
18	Matthew Taylor	[19]
19	Yevgeniy Vorobeychik	[8]
20	Thomas J. Walsh	[10] [15] [17]
21	Eric Wiewiora	[6]
22	David Wingate	[19]
23	Jennifer Wortman	[8]
24	Tong Zhang	[11] [13]

Colors in the list of coauthors