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Justin A. Boyan
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2010 – 2019
- 2012
- [i1]Amy Greenwald, Justin A. Boyan:
Bidding under Uncertainty: Theory and Experiments. CoRR abs/1207.4108 (2012)
2000 – 2009
- 2004
- [c15]Amy Greenwald, Justin A. Boyan:
Bidding under Uncertainty: Theory and Experiments. UAI 2004: 209-216 - 2002
- [j2]Justin A. Boyan:
Technical Update: Least-Squares Temporal Difference Learning. Mach. Learn. 49(2-3): 233-246 (2002) - 2001
- [c14]Amy Greenwald
, Justin A. Boyan:
Bidding algorithms for simultaneous auctions. EC 2001: 115-124 - [c13]Justin A. Boyan, Amy Greenwald:
Bid determination in simultaneous actions an agent architecture. EC 2001: 210-212 - [c12]Justin A. Boyan, Michael Mitzenmacher:
IMproved results for route planning in stochastic transportation. SODA 2001: 895-902 - 2000
- [j1]Justin A. Boyan, Andrew W. Moore:
Learning Evaluation Functions to Improve Optimization by Local Search. J. Mach. Learn. Res. 1: 77-112 (2000) - [c11]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- - [c10]Justin A. Boyan, Michael L. Littman:
Exact Solutions to Time-Dependent MDPs. NIPS 2000: 1026-1032
1990 – 1999
- 1999
- [c9]Justin A. Boyan:
Least-Squares Temporal Difference Learning. ICML 1999: 49-56 - 1998
- [c8]Justin A. Boyan, Andrew W. Moore:
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability. AAAI/IAAI 1998: 3-10 - [c7]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 - [c6]Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore:
Value Function Based Production Scheduling. ICML 1998: 522-530 - 1997
- [c5]Justin A. Boyan, Andrew W. Moore:
Using Prediction to Improve Combinatorial Optimization Search. AISTATS 1997: 55-66 - 1996
- [c4]Justin A. Boyan:
A Reinforcement Learning Framework for Combinatorial Optimization. AAAI/IAAI, Vol. 2 1996: 1379 - [c3]Justin A. Boyan, Andrew W. Moore:
Learning Evaluation Functions for Large Acyclic Domains. ICML 1996: 63-70 - 1994
- [c2]Justin A. Boyan, Andrew W. Moore:
Generalization in Reinforcement Learning: Safely Approximating the Value Function. NIPS 1994: 369-376 - 1993
- [c1]Justin A. Boyan, Michael L. Littman:
Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach. NIPS 1993: 671-678
Coauthor Index
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