We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
Context has been applied to a broad range of domains and systems ranging from location-based tourist applications to motion capture. An area relatively under-represented in the li...
Robert Ashford, Philip Moore, Bin Hu, Mike Jackson...