Justin A. Boyan

	2004
16		Amy R. Greenwald, Justin A. Boyan: Bidding under Uncertainty: Theory and Experiments. UAI 2004: 209-216
	2002
15		Justin A. Boyan: Technical Update: Least-Squares Temporal Difference Learning. Machine Learning 49(2-3): 233-246 (2002)
	2001
14		Amy R. Greenwald, Justin A. Boyan: Bidding algorithms for simultaneous auctions. ACM Conference on Electronic Commerce 2001: 115-124
13		Justin A. Boyan, Amy R. Greenwald: Bid determination in simultaneous actions an agent architecture. ACM Conference on Electronic Commerce 2001: 210-212
12		Justin A. Boyan, Michael Mitzenmacher: IMproved results for route planning in stochastic transportation. SODA 2001: 895-902
	2000
11		Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee: Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICRA 2000: 4096-
10		Justin A. Boyan, Michael L. Littman: Exact Solutions to Time-Dependent MDPs. NIPS 2000: 1026-1032
9		Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions to Improve Optimization by Local Search. Journal of Machine Learning Research 1: 77-112 (2000)
	1999
8		Justin A. Boyan: Least-Squares Temporal Difference Learning. ICML 1999: 49-56
	1998
7		Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions for Global Optimization and Boolean Satisfiability. AAAI/IAAI 1998: 3-10
6		Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee: Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICML 1998: 386-394
5		Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore: Value Function Based Production Scheduling. ICML 1998: 522-530
	1996
4		Justin A. Boyan: A Reinforcement Learning Framework for Combinatorial Optimization. AAAI/IAAI, Vol. 2 1996: 1379
3		Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions for Large Acyclic Domains. ICML 1996: 63-70
	1994
2		Justin A. Boyan, Andrew W. Moore: Generalization in Reinforcement Learning: Safely Approximating the Value Function. NIPS 1994: 369-376
	1993
1		Justin A. Boyan, Michael L. Littman: Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach. NIPS 1993: 671-678

Coauthor Index

1	Amy R. Greenwald	[13] [14] [16]
2	Mary S. Lee	[6] [11]
3	Michael L. Littman	[1] [10]
4	Michael Mitzenmacher	[12]
5	Andrew W. Moore	[2] [3] [5] [6] [7] [9] [11]
6	Jeff G. Schneider	[5] [6] [11]

Colors in the list of coauthors