Abstract. We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The first is based on relative Q-learning and the ...
We propose a simple yet rich model to extend the notions of Nash equilibria and correlated equilibria of strategic games to the quantum setting, in which we then study the relatio...
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
—We consider the situation where N nodes share a common access point. With each node i there is an associated buffer and channel state that change in time. Node i dynamically cho...
Eitan Altaian, Konstantin Avrachenkov, Nicolas Bon...
ion in PRISM1 Mark Kattenbelt Marta Kwiatkowska Gethin Norman David Parker Oxford University Computing Laboratory, Oxford, UK Modelling and verification of systems such as communi...
Mark Kattenbelt, Marta Z. Kwiatkowska, Gethin Norm...