Tamlin Love- Master of Science
- PhD Student at Institut de Robòtica i Informàtica Industrial
Tamlin Love
- Master of Science
- PhD Student at Institut de Robòtica i Informàtica Industrial
About
5
Publications
125
Reads
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5
Citations
Introduction
My main interests are in exploring how humans and intelligent systems interact, be it thorugh collaboration, assistance or learning. To that end, I am also very interested in how representations of environments and actors (such as humans) can facilitate these interactions, through transparent and explainable models that allow an agent to adapt to tasks and people. Related issues of AI ethics, safety and explainability are also important to me.
Current institution
Institut de Robòtica i Informàtica Industrial
Current position
- PhD Student
Publications
Publications (5)
For social robots to be able to operate in unstructured public spaces, they need to be able to gauge complex factors such as human-robot engagement and inter-person social groups, and be able to decide how and with whom to interact. Additionally, such robots should be able to explain their decisions after the fact, to improve accountability and con...
An important problem in reinforcement learning is designing agents that learn to solve tasks safely in an environment. A common solution is for a human expert to define either a penalty in the reward function or a cost to be minimised when reaching unsafe states. However, this is non-trivial, since too small a penalty may lead to agents that reach...
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An important problem in reinforcement learning is the need for greater sample efficiency. One approach to dealing with this problem is to incorporate external information elicited from a domain expert in the learning process. Indeed, it has been shown that incorporating expert advice in the learning process can improve the rate at which an agent’s...
The recovery of influence ontology structures is a useful tool within knowledge discovery, allowing for an easy and intuitive method of graphically representing the influences between concepts or variables within a system. The focus of this research is to develop a method by which undirected influence structures, here in the form of undirected Baye...
