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Theodore J. Perkins: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel S. Bernstein, Theodore J. Perkins, Shlomo Zilberstein, Lev Finkelstein
    Scheduling Contract Algorithms on Multiple Processors. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:702-706 [Conf]
  2. Theodore J. Perkins
    Reinforcement Learning for POMDPs Based on Action Values and Stochastic Optimization. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:199-204 [Conf]
  3. Robert Moll, Theodore J. Perkins, Andrew G. Barto
    Machine Learning for Subproblem Selection. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:615-622 [Conf]
  4. Theodore J. Perkins, Andrew G. Barto
    Lyapunov-Constrained Action Sets for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:409-416 [Conf]
  5. Theodore J. Perkins, Mark D. Pendrith
    On the Existence of Fixed Points for Q-Learning and Sarsa in Partially Observable Domains. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:490-497 [Conf]
  6. Theodore J. Perkins, Andrew G. Barto
    Heuristic Search in Infinite State Spaces Guided by Lyapunov Analysis. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:242-247 [Conf]
  7. Robert Moll, Andrew G. Barto, Theodore J. Perkins, Richard S. Sutton
    Learning Instance-Independent Value Functions to Enhance Local Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1017-1023 [Conf]
  8. Theodore J. Perkins, Doina Precup
    A Convergent Form of Approximate Policy Iteration. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1595-1602 [Conf]
  9. Theodore J. Perkins, Andrew G. Barto
    Lyapunov Design for Safe Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:803-832 [Journal]

  10. Statistical lower bounds on protein copy number from fluorescence expression images. [Citation Graph (, )][DBLP]

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