Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
Ruohan Zhang,
Faraz Torabi,
Garrett Warnell
et al.
Abstract:A longstanding goal of artificial intelligence is to create artificial agents capable of learning to perform tasks that require sequential decision making. Importantly, while it is the artificial agent that learns and acts, it is still up to humans to specify the particular task to be performed. Classical task-specification approaches typically involve humans providing stationary reward functions or explicit demonstrations of the desired tasks. However, there has recently been a great deal of research energy i… Show more
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