One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
Investors would like to calculate profits in advance, “ex ante”, like the path of a flying ball. But income can only be given “ex post”, after the money is earned. The pro...
Abstract. We study structural properties of restricted width arithmetical circuits. It is shown that syntactically multilinear arithmetical circuits of constant width can be effici...
Rendering networks and distributed systems self-managing and self-optimizing has become a major research focus. This task is especially important for systems, such as publish/subsc...