Transfer Learning

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 …
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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 …
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A Multitask Representation using Reusable Local Policy Templates
Constructing robust controllers to perform tasks in large, continually changing worlds is a difficult problem. A long-lived agent …
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Learning Spatial Relationships between Objects
Although a manipulator must interact with objects in terms of their full complexity, it is the qualitative structure of the objects in …
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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 …
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