We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
This paper reviews the literature linking information and communications technology (ICT) to teaching thinking skills and advocates a dialogic framework which has implications for ...
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Interpretation Using Typed Decision Graphs Laurent Mauborgne LIENS, ´Ecole Normale Sup´erieure, 45 rue d’Ulm, 75230 Paris cedex 05, France Abstract. This article presents a way...
Abstract. Interaction nets are a graphical formalism inspired by Linear Logic proof-nets often used for studying higher order rewriting e.g. β-reduction. Traditional presentations...