This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
While methods based on partial differential equations (PDEs) and variational techniques are powerful tools for denoising and inpainting digital images, their use for image compress...
Irena Galic, Joachim Weickert, Martin Welk, Andr&e...
Abstract. In this paper, a computational model of a successful negotiated communication system is presented, in which language agents develop their own meanings in response to thei...
Intonation is an important aspect of vocal production, used for a variety of communicative needs. Its modeling is therefore crucial in many speech understanding systems, particula...