— The practical implementation of Min-Max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by ...
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
niques for Fast Predicate Abstraction Shuvendu K. Lahiri , Robert Nieuwenhuis , and Albert Oliveras Abstract. Predicate abstraction is a technique for automatically exfinite-state ...
Shuvendu K. Lahiri, Robert Nieuwenhuis, Albert Oli...