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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]