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Ralf Schoknecht: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Thomas Ragg, Frank Padberg, Ralf Schoknecht
    Applying Machine Learning to Solve an Estimation Problem in Software Inspections. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:516-521 [Conf]
  2. Ralf Schoknecht, Martin A. Riedmiller
    Speeding-up Reinforcement Learning with Multi-step Actions. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:813-818 [Conf]
  3. Ralf Schoknecht, Martin A. Riedmiller
    Learning to Control at Multiple Time Scales. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:479-487 [Conf]
  4. Artur Merke, Ralf Schoknecht
    A Necessary Condition of Convergence for Reinforcement Learning with Function Approximation. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:411-418 [Conf]
  5. Artur Merke, Ralf Schoknecht
    Convergence of synchronous reinforcement learning with linear function approximation. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  6. Ralf Schoknecht, Artur Merke
    TD(0) Converges Provably Faster than the Residual Gradient Algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:680-687 [Conf]
  7. Ralf Schoknecht
    Optimality of Reinforcement Learning Algorithms with Linear Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1555-1562 [Conf]
  8. Ralf Schoknecht, Artur Merke
    Convergent Combinations of Reinforcement Learning with Linear Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1579-1586 [Conf]
  9. Ralf Schoknecht, Martin Riedmiller
    Reinforcement learning on explicitly specified time scales. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2003, v:12, n:2, pp:61-80 [Journal]
  10. Ralf Schoknecht, Martin Spott, Martin A. Riedmiller
    Fynesse: An architecture for integrating prior knowledge in autonomously learning agents. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2004, v:8, n:6, pp:397-408 [Journal]
  11. Frank Padberg, Thomas Ragg, Ralf Schoknecht
    Using Machine Learning for Estimating the Defect Content After an Inspection. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Software Eng., 2004, v:30, n:1, pp:17-28 [Journal]

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