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Justin A. Boyan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Justin A. Boyan
    A Reinforcement Learning Framework for Combinatorial Optimization. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1379- [Conf]
  2. Justin A. Boyan, Andrew W. Moore
    Learning Evaluation Functions for Global Optimization and Boolean Satisfiability. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:3-10 [Conf]
  3. Justin A. Boyan
    Least-Squares Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:49-56 [Conf]
  4. Justin A. Boyan, Andrew W. Moore
    Learning Evaluation Functions for Large Acyclic Domains. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:63-70 [Conf]
  5. Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee
    Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:386-394 [Conf]
  6. Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore
    Value Function Based Production Scheduling. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:522-530 [Conf]
  7. Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee
    Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:4096-0 [Conf]
  8. Justin A. Boyan, Michael L. Littman
    Exact Solutions to Time-Dependent MDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1026-1032 [Conf]
  9. Justin A. Boyan, Michael L. Littman
    Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:671-678 [Conf]
  10. Justin A. Boyan, Andrew W. Moore
    Generalization in Reinforcement Learning: Safely Approximating the Value Function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:369-376 [Conf]
  11. Justin A. Boyan, Amy R. Greenwald
    Bid determination in simultaneous actions an agent architecture. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2001, pp:210-212 [Conf]
  12. Amy R. Greenwald, Justin A. Boyan
    Bidding algorithms for simultaneous auctions. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2001, pp:115-124 [Conf]
  13. Justin A. Boyan, Michael Mitzenmacher
    IMproved results for route planning in stochastic transportation. [Citation Graph (0, 0)][DBLP]
    SODA, 2001, pp:895-902 [Conf]
  14. Justin A. Boyan, Andrew W. Moore
    Learning Evaluation Functions to Improve Optimization by Local Search. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2000, v:1, n:, pp:77-112 [Journal]
  15. Justin A. Boyan
    Technical Update: Least-Squares Temporal Difference Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:49, n:2-3, pp:233-246 [Journal]
  16. Amy R. Greenwald, Justin A. Boyan
    Bidding under Uncertainty: Theory and Experiments. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:209-216 [Conf]

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