In this paper we derive convergence rates for Q-learning. We show an interesting relationship between the convergence rate and the learning rate used in Q-learning. For a polynomi...
Constraint programming offers a variety of modeling objects such as logical and global constraints, that lead to concise and clear models for expressing combinatorial optimization...
We investigate LP-polytopes generated by mean payoff games and their properties, including the existence of tight feasible solutions of bounded size. We suggest a new associated al...
Abstract. We provide an alternative proof of the sequentialisation theorem for proof nets of multiplicative linear logic. Namely, we show how a proof net can be transformed into a ...
We present a novel system for gait recognition. Identity recognition and verification are based on the matching of linearly timenormalized gait walking cycles. A novel feature ext...
Nikolaos V. Boulgouris, Konstantinos N. Platanioti...