This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
The evolution of the Computer Supported Collaborative Learning (CSCL) implies the definition and managing of a Student Model (SM) regarding the collaborative group of learners cap...
Experimental and computational studies suggest that complex motor behavior is based on simpler spatiotemporal primitives, or synergies. This has been demonstrated by application o...