| 2004 |
|---|
| 16 | EE | 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 | EE | Amy R. Greenwald,
Justin A. Boyan:
Bidding algorithms for simultaneous auctions.
ACM Conference on Electronic Commerce 2001: 115-124 |
| 13 | EE | Justin A. Boyan,
Amy R. Greenwald:
Bid determination in simultaneous actions an agent architecture.
ACM Conference on Electronic Commerce 2001: 210-212 |
| 12 | EE | 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 | EE | 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 | EE | Justin A. Boyan,
Andrew W. Moore:
Generalization in Reinforcement Learning: Safely Approximating the Value Function.
NIPS 1994: 369-376 |
| 1993 |
|---|
| 1 | EE | Justin A. Boyan,
Michael L. Littman:
Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach.
NIPS 1993: 671-678 |
