An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
This paper presents a general formulation enabling determination of all functions that are steerable under any transformation group. These steerable functions are determinedunique...
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Exact cellular decompositions are structures that globally encode the topology of a robot's free space, while locally describing the free space's geometry. These structu...
Howie Choset, Ercan U. Acar, Alfred A. Rizzi, Jona...
Abstract. The separation of concerns is a fundamental principle in software engineering. Crosscutting concerns are concerns that do not align with hierarchical and block decomposit...