500 citations · 786 across the 8 of their papers we have counts for
8 papers
Replication-Robust Payoff-Allocation for Machine Learning Data Markets
Dongge Han, Michael Wooldridge, Alex Rogers +2
Submodular functions have been a powerful mathematical model for a wide range of real-world applications. Recently, submodular functions are becoming increasingly important in mach…
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination
Dongge Han, Wendelin Boehmer, Michael Wooldridge +1
In a multi-agent system, an agent's optimal policy will typically depend on the policies chosen by others. Therefore, a key issue in multi-agent systems research is that of predict…
A comparison of non-intrusive load monitoring methods for commercial and residential buildings
Nipun Batra, Oliver Parson, Mario Berges +2
Non intrusive load monitoring (NILM), or energy disaggregation, is the process of separating the total electricity consumption of a building as measured at single point into the bu…
NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring
Nipun Batra, Jack Kelly, Oliver Parson +5
Non-intrusive load monitoring, or energy disaggregation, aims to separate household energy consumption data collected from a single point of measurement into appliance-level consum…
Efficient State-Space Inference of Periodic Latent Force Models
Steven Reece, Stephen Roberts, Siddhartha Ghosh +2
Latent force models (LFM) are principled approaches to incorporating solutions to differential equations within non-parametric inference methods. Unfortunately, the development and…
Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries
James McInerney, Alex Rogers, Nicholas R. Jennings
In many developing countries, half the population lives in rural locations, where access to essentials such as school materials, mosquito nets, and medical supplies is restricted.…
Bounding the Estimation Error of Sampling-based Shapley Value Approximation
Sasan Maleki, Long Tran-Thanh, Greg Hines +2
The Shapley value is arguably the most central normative solution concept in cooperative game theory. It specifies a unique way in which the reward from cooperation can be "fairly"…
Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits
Long Tran-Thanh, Archie Chapman, Alex Rogers +1
In budget-limited multi-armed bandit (MAB) problems, the learner's actions are costly and constrained by a fixed budget. Consequently, an optimal exploitation policy may not be to…