1

Context-based Online Policy Instantiation for Multiple Tasks and Changing Environments
This paper addresses the problem of online decision making in continually changing and complex environments, with inherent …
PDF Cite
Feature Selection for Domain Knowledge Representation through Multitask Learning
Representation learning is a difficult and important problem for autonomous agents. This paper presents an approach to automatic …
PDF Cite
Giving Advice to Agents with Hidden Goals
This paper considers the problem of providing advice to an autonomous agent when neither the behavioural policy nor the goals of that …
PDF Cite
On User Behaviour Adaptation Under Interface Change
Different interfaces allow a user to achieve the same end goal through different action sequences, e.g., command lines vs. drop down …
PDF Cite
What Good are Actions? Accelerating Learning using Learned Action Priors
The computational complexity of learning in sequential decision problems grows exponentially with the number of actions available to …
PDF Cite
A Game Theoretic Procedure for Learning Hierarchically Structured Strategies
This paper addresses the problem of acquiring a hierarchically structured robotic skill in a non-stationary environment. This is …
PDF Cite
Language Performance at High School and Success in First Year Computer Science
We describe the first part of a study investigating the usefulness of high school language results as a predictor of success in first …
PDF Cite