Self

From IntRoLab

Self - Apprentissage par évaluation auto-référencé / Learning from Self-Reference Evaluation

Équipe / Team

  • François Michaud

Publications

  1. Michaud, F., Mataric, M. J. (1999), "Representation of behavioral history for learning in nonstationary conditions", Robotics and Autonomous Systems, 29(2): 1-14. (pdf)
  2. Michaud, F., Mataric, M. J. (1998), "Learning from history for behavior-based mobile robots in non-stationary environments", Joint special issue on Learning in Autonomous Robots, Machine Learning, 31, 141-167, Autonomous Robots, 5, 335-354. (ps)
  3. Michaud, F., Mataric, M. J. (1998), "Learning from history for adaptive mobile robot behavior", Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Victoria British Columbia, 3:1865-1870. (ps)
  4. Michaud, F., Mataric, M. J. (1998), "A history-based approach for adaptive robot behavior in dynamic environments", Proceedings 2nd Autonomous Agents Conference, St-Paul, Minneapolis, 422-429. (ps)
  5. Michaud, F., Mataric, M. J. (1997), "Behavior evaluation and learning from an internal point of view", Proceedings FLAIRS-97, ROBOLEARN Session: Evaluating Robot Learning, Daytona, Florida. (ps)
  6. Michaud, F., Mataric, M. J. (1997), "A history-based learning approach for adaptive robot behavior selection", Technical Report CS-97-192, Computer Science Department, Volen Center for Complex Systems, Brandeis Univ.