Justin A. Boyan

According to our database, Justin A. Boyan authored at least 15 papers between 1993 and 2004.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2004

Bidding under Uncertainty: Theory and Experiments.

Amy Greenwald, Justin A. Boyan

Proceedings of the UAI '04, 2004

2002

Technical Update: Least-Squares Temporal Difference Learning.

Justin A. Boyan

Mach. Learn., 2002

2001

IMproved results for route planning in stochastic transportation.

Justin A. Boyan, Michael Mitzenmacher

Proceedings of the Twelfth Annual Symposium on Discrete Algorithms, 2001

Bidding algorithms for simultaneous auctions.

Amy Greenwald, Justin A. Boyan

Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

Bid determination in simultaneous actions an agent architecture.

Justin A. Boyan, Amy Greenwald

Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

2000

Learning Evaluation Functions to Improve Optimization by Local Search.

Justin A. Boyan, Andrew W. Moore

J. Mach. Learn. Res., 2000

Exact Solutions to Time-Dependent MDPs.

Justin A. Boyan, Michael L. Littman

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions.

Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

1999

Least-Squares Temporal Difference Learning.

Justin A. Boyan

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Value Function Based Production Scheduling.

Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Learning Evaluation Functions for Global Optimization and Boolean Satisfiability.

Justin A. Boyan, Andrew W. Moore

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1996

Learning Evaluation Functions for Large Acyclic Domains.

Justin A. Boyan, Andrew W. Moore

Proceedings of the Machine Learning, 1996

A Reinforcement Learning Framework for Combinatorial Optimization.

Justin A. Boyan

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1994

Generalization in Reinforcement Learning: Safely Approximating the Value Function.

Justin A. Boyan, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach.

Justin A. Boyan, Michael L. Littman

Proceedings of the Advances in Neural Information Processing Systems 6, 1993