We propose SoF (Soft-cluster matrix Factorization), a probabilistic clustering algorithm which softly assigns each data point into clusters. Unlike model-based clustering algorith...
Han Zhao, Pascal Poupart, Yongfeng Zhang, Martin L...
Online, sample-based planning algorithms for POMDPs have shown great promise in scaling to problems with large state spaces, but they become intractable for large action and obser...
Energy consumption in commercial and educational buildings is impacted by group activities such as meetings, workshops, classes and exams, and can be reduced by scheduling these a...
BoonPing Lim, Menkes van den Briel, Sylvie Thi&eac...
In many practical domains, planning systems are required to reason about durative actions. A common assumption in the literature is that the executor is allowed to decide the dura...
Effectively incorporating external advice is an important problem in reinforcement learning, especially as it moves into the real world. Potential-based reward shaping is a way to...
Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann No...
Modern technical devices are often too complex for many users to be able to use them to their full extent. Based on planning technology, we are able to provide advanced user assis...
The theory of (variable) forgetting has received significant attention in nonmonotonic reasoning, especially, in answer set programming. However, the problem of establishing a the...
The number of people with disabilities is continuously increasing. Providing patients who have disabilities with the rehabilitation and care necessary to allow them good quality o...
Advertising effectiveness measurement is a fundamental problem in online advertising. Various causal inference methods have been employed to measure the causal effects of ad treat...
Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi C...