We define a framework called the prismoid of resources where each vertex refines the λ-calculus by using a different choice to make explicit or implicit (meta-level) the defin...
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
Abstract. The automated analysis of termination of term rewriting systems (TRSs) has drawn a lot of attention in the scientific community during the last decades and many differe...
Abstract—Runtime monitoring, where some part of a program’s behavior and/or data is observed during execution, is a very useful technique that software developers to use for un...