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- Robert Babuska
- 1998

The figure omits the goal and obstacle mentioned in the text (these elements are shown later, in Figure 1.5). The correct figure is given here: state (position) x k action (step) u k nexttstate x k+1

- Lucian Busoniu, Robert Babuska, Bart De Schutter
- IEEE Transactions on Systems, Man, andâ€¦
- 2008

Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many tasks arising in theseâ€¦ (More)

- Ivo Grondman, Lucian Busoniu, Gabriel A. D. Lopes, Robert Babuska
- IEEE Transactions on Systems, Man, andâ€¦
- 2012

Policy-gradient-based actor-critic algorithms are amongst the most popular algorithms in the reinforcement learning framework. Their advantage of being able to search for optimal policies usingâ€¦ (More)

- JÃ¡nos Abonyi, Robert Babuska, Ferenc Szeifert
- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 2002

The construction of interpretable Takagi-Sugeno (TS) fuzzy models by means of clustering is addressed. First, it is shown how the antecedent fuzzy sets and the corresponding consequent parameters ofâ€¦ (More)

Multi-agent systems can be used to address problems in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many tasks arising in theseâ€¦ (More)

- Magne Setnes, Robert Babuska, Uzay Kaymak, H. R. van Nauta Lemke
- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 1998

In fuzzy rule-based models acquired from numerical data, redundancy may be present in the form of similar fuzzy sets that represent compatible concepts. This results in an unnecessarily complex andâ€¦ (More)

This article presents two techniques to improve the calculation of the fuzzy covariance matrix in the GustafsonKessel (GK) clustering algorithm. The first one overcomes problems that occur in theâ€¦ (More)

Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many tasks arising in theseâ€¦ (More)

- Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
- Proceedings of the American Control Conference
- 2010

Reinforcement learning is a promising paradigm for learning optimal control. We consider policy iteration (PI) algorithms for reinforcement learning, which iteratively evaluate and improve controlâ€¦ (More)