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Learning to Follow Language Instructions with Compositional Policies
We propose a framework that learns to execute natural language instructions in an environment consisting of goal-reaching tasks that …
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Predicting High-speed Performance of a B-Double
This paper presents a data driven approach to develop a prediction model for the PBS performance of heavy vehicles. A gap exists …
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Behavioural Domain Knowledge Transfer for Autonomous Agents
An agent continuously performing different tasks in the same domain has the opportunity to learn, over the course of its operational …
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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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