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Marcello Restelli: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Andrea Bonarini, Matteo Matteucci, Marcello Restelli
    Concepts for Anchoring in Robotics. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2001, pp:327-332 [Conf]
  2. Andrea Bonarini, Marcello Restelli
    An architecture to implement agents co-operating in dynamic environments. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:1143-1144 [Conf]
  3. Jose Enrique Munoz de Cote, Alessandro Lazaric, Marcello Restelli
    Learning to cooperate in multi-agent social dilemmas. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:783-785 [Conf]
  4. Andrea Bonarini, Matteo Matteucci, Marcello Restelli
    Dead Reckoning for Mobile Robots Using Two Optical Mice. [Citation Graph (0, 0)][DBLP]
    ICINCO (2), 2004, pp:87-94 [Conf]
  5. Andrea Bonarini, Giovanni Invernizzi, Fabio M. Marchese, Matteo Matteucci, Marcello Restelli, Domenico G. Sorrenti
    Fun2Mas: The Milan Robocup Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:639-642 [Conf]
  6. Andrea Bonarini, Matteo Matteucci, Marcello Restelli
    A Framework for Robust Sensing in Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:287-292 [Conf]
  7. Andrea Bonarini, Matteo Matteucci, Marcello Restelli
    Filling the Gap among Coordination, Planning, and Reaction Using a Fuzzy Cognitive Model. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:662-669 [Conf]
  8. Marcello Restelli, Domenico G. Sorrenti, Fabio M. Marchese
    MUREA: A MUlti-Resolution Evidence Accumulation Method for Robot Localization in Known Environments. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2002, pp:351-358 [Conf]
  9. Marcello Restelli, Domenico G. Sorrenti, Fabio M. Marchese
    A Probabilistic Framework for Weighting Different Sensor Data in MUREA. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:678-685 [Conf]
  10. Andrea Bonarini, Alessandro Lazaric, Marcello Restelli
    Incremental Skill Acquisition for Self-motivated Learning Animats. [Citation Graph (0, 0)][DBLP]
    SAB, 2006, pp:357-368 [Conf]
  11. Andrea Bonarini, Matteo Matteucci, Marcello Restelli
    Concepts and Fuzzy Models for Behavior-Based Robotics. [Citation Graph (0, 0)][DBLP]
    WILF, 2003, pp:72-79 [Conf]
  12. Andrea Bonarini, Francesco Montrone, Marcello Restelli
    Reinforcement Distribution in Continuous State Action Space Fuzzy Q-Learning: A Novel Approach. [Citation Graph (0, 0)][DBLP]
    WILF, 2005, pp:40-45 [Conf]
  13. Andrea Bonarini, Matteo Matteucci, Marcello Restelli
    Concepts and fuzzy models for behavior-based robotics. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:41, n:2, pp:110-127 [Journal]
  14. Andrea Bonarini, Alessandro Lazaric, Marcello Restelli
    Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2007, pp:531-542 [Conf]
  15. Andrea Bonarini, Alessandro Lazaric, Marcello Restelli
    Piecewise constant reinforcement learning for robotic applications. [Citation Graph (0, 0)][DBLP]
    ICINCO-ICSO, 2007, pp:214-221 [Conf]
  16. Andrea Bonarini, Matteo Matteucci, Marcello Restelli
    Automatic Error Detection and Reduction for an Odometric Sensor based on Two Optical Mice. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:1675-1680 [Conf]

  17. Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game. [Citation Graph (, )][DBLP]


  18. Transfer of task representation in reinforcement learning using policy-based proto-value functions. [Citation Graph (, )][DBLP]


  19. On the usefulness of opponent modeling: the Kuhn Poker case study. [Citation Graph (, )][DBLP]


  20. Batch Reinforcement Learning - An Application to a Controllable Semi-active Suspension System. [Citation Graph (, )][DBLP]


  21. Transfer of samples in batch reinforcement learning. [Citation Graph (, )][DBLP]


  22. Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robot. [Citation Graph (, )][DBLP]


  23. Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods. [Citation Graph (, )][DBLP]


  24. Improving Batch Reinforcement Learning Performance through Transfer of Samples. [Citation Graph (, )][DBLP]


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