FACL and FQL reinforcement learning algorithms for a mobile robot

The objective is to obtain a behaviour that is as ‘rewarding’ as possible. Most commonly used methods of learning in the Machine Learning community are: Q-Learning and Learning and Actor-Critic Learning. Both are based on temporal differences .
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Messaouda Benzaoui and Marc Güell
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reinforcement learning algorithms for a mobile robot

Go to the profile of Messaouda Benzaoui

Contributors

Author

Go to the profile of Messaouda Benzaoui

Messaouda Benzaoui

Teacher, Institute of Electrical and Electronic Engineering, Université M’hamed Bougara, Boumerdès

Contributing author

Go to the profile of Marc Güell

Marc Güell

Assistant professor, Pompeu Fabra University

Multiple Contributors
Messaouda Benzaoui and Marc Güell

Contributors

Author

Go to the profile of Messaouda Benzaoui

Messaouda Benzaoui

Teacher, Institute of Electrical and Electronic Engineering, Université M’hamed Bougara, Boumerdès

Contributing author

Go to the profile of Marc Güell

Marc Güell

Assistant professor, Pompeu Fabra University

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Computational Intelligence
Technology and Engineering > Mathematical and Computational Engineering Applications > Computational Intelligence

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