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Olivier Sigaud: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Martin Butz, Olivier Sigaud, Pierre Gérard
    Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. [Citation Graph (0, 0)][DBLP]
    Anticipatory Behavior in Adaptive Learning Systems, 2003, pp:1-10 [Conf]
  2. Martin Butz, Olivier Sigaud, Pierre Gérard
    Internal Models and Anticipations in Adaptive Learning Systems. [Citation Graph (0, 0)][DBLP]
    Anticipatory Behavior in Adaptive Learning Systems, 2003, pp:86-109 [Conf]
  3. Fabien Flacher, Olivier Sigaud
    GACS, an evolutionary approach to the spatial coordination of agents. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:1109-1110 [Conf]
  4. Olivier Sigaud, Pierre Gérard
    Being Reactive by Exchanging Roles: An Empirical Study. [Citation Graph (0, 0)][DBLP]
    Balancing Reactivity and Social Deliberation in Multi-Agent Systems, 2000, pp:150-174 [Conf]
  5. Pierre Gérard, Olivier Sigaud
    Designing Efficient Exploration with MACS: Modules and Function Approximation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1882-1893 [Conf]
  6. Samuel Landau, Olivier Sigaud, Marc Schoenauer
    ATNoSFERES revisited. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1867-1874 [Conf]
  7. Samuel Landau, Sébastien Picault, Olivier Sigaud, Pierre Gérard
    A Comparison Between ATNoSFERES And XCSM. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:926-933 [Conf]
  8. Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuillemin
    Improving MACS Thanks to a Comparison with 2TBNs. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:810-823 [Conf]
  9. Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
    Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:257-264 [Conf]
  10. Pierre Gérard, Olivier Sigaud
    YACS: Combining Dynamic Programming with Generalization in Classifier Systems. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2000, pp:52-69 [Conf]
  11. Samuel Landau, Sébastien Picault, Olivier Sigaud, Pierre Gérard
    Further Comparison between ATNoSFERES and XCSM. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2002, pp:99-117 [Conf]
  12. Olivier Sigaud, Pierre Gérard
    Using Classifier Systems as Adaptive Expert Systems for Control. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2000, pp:138-157 [Conf]
  13. Pierre Gérard, Wolfgang Stolzmann, Olivier Sigaud
    YACS: a new learning classifier system using anticipation. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:3-4, pp:216-228 [Journal]
  14. Fabien Flacher, Olivier Sigaud
    Coordination spatiale émergente par champs de potentie. [Citation Graph (0, 0)][DBLP]
    Technique et Science Informatiques, 2003, v:22, n:2, pp:171-195 [Journal]
  15. Pierre Gérard, Jean-Arcady Meyer, Olivier Sigaud
    Combining latent learning with dynamic programming in the modular anticipatory classifier system. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2005, v:160, n:3, pp:614-637 [Journal]
  16. Samuel Landau, Olivier Sigaud, Sébastien Picault, Pierre Gérard
    An Experimental Comparison Between ATNoSFERES and ACS. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2005, pp:144-160 [Conf]
  17. Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre
    Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. [Citation Graph (0, 0)][DBLP]
    SAB ABiALS, 2006, pp:1-18 [Conf]
  18. Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
    Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]

  19. Compacting a Rule Base into an and/or Diagram for Game AI. [Citation Graph (, )][DBLP]

  20. A comparative study: function approximation with LWPR and XCSF. [Citation Graph (, )][DBLP]

  21. Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach. [Citation Graph (, )][DBLP]

  22. Considering Unseen States as Impossible in Factored Reinforcement Learning. [Citation Graph (, )][DBLP]

  23. TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs. [Citation Graph (, )][DBLP]

  24. Control of redundant robots using learned models: An operational space control approach. [Citation Graph (, )][DBLP]

  25. Exploiting Additive Structure in Factored MDPs for Reinforcement Learning. [Citation Graph (, )][DBLP]

  26. A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion. [Citation Graph (, )][DBLP]

  27. Anticipatory Learning Classifier Systems and Factored Reinforcement Learning. [Citation Graph (, )][DBLP]

  28. From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. [Citation Graph (, )][DBLP]

  29. ATNoSFERES revisited [Citation Graph (, )][DBLP]

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