Justin A. Boyan

Publication Activity (10 Years)

Years Active: 1993-2012
Publications (10 Years): 0

Top Venues

Publications

Amy Greenwald, Justin A. Boyan
Bidding under Uncertainty: Theory and Experiments CoRR (2012)
Amy Greenwald, Justin A. Boyan
Bidding under Uncertainty: Theory and Experiments. UAI (2004)
Justin A. Boyan
Technical Update: Least-Squares Temporal Difference Learning. Mach. Learn. 49 (2-3) (2002)
Justin A. Boyan, Michael Mitzenmacher
IMproved results for route planning in stochastic transportation. SODA (2001)
Justin A. Boyan, Amy Greenwald
Bid determination in simultaneous actions an agent architecture. EC (2001)
Amy Greenwald, Justin A. Boyan
Bidding algorithms for simultaneous auctions. EC (2001)
Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICRA (2000)
Justin A. Boyan, Andrew W. Moore
Learning Evaluation Functions to Improve Optimization by Local Search. J. Mach. Learn. Res. 1 (2000)
Justin A. Boyan, Michael L. Littman
Exact Solutions to Time-Dependent MDPs. NIPS (2000)
Justin A. Boyan
Least-Squares Temporal Difference Learning. ICML (1999)
Justin A. Boyan, Andrew W. Moore
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability. AAAI/IAAI (1998)
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore
Value Function Based Production Scheduling. ICML (1998)
Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICML (1998)
Justin A. Boyan, Andrew W. Moore
Using Prediction to Improve Combinatorial Optimization Search. AISTATS (1997)
Justin A. Boyan, Andrew W. Moore
Learning Evaluation Functions for Large Acyclic Domains. ICML (1996)
Justin A. Boyan
A Reinforcement Learning Framework for Combinatorial Optimization. AAAI/IAAI, Vol. 2 (1996)
Justin A. Boyan, Andrew W. Moore
Generalization in Reinforcement Learning: Safely Approximating the Value Function. NIPS (1994)
Justin A. Boyan, Michael L. Littman
Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach. NIPS (1993)