As computational agents are increasingly used beyond research labs, their success will depend on their ability to learn new skills and adapt to their dynamic, complex environments. If human users---without programming skills---can transfer their task ...
For real-world applications, virtual agents must be able to learn new behaviors from non-technical users. Positive and negative feedback are an intuitive way to train new behaviors, and existing work has presented algorithms for learning from such ...
We present a novel method for a robot to interactively learn, while executing, a joint human---robot task. We consider collaborative tasks realized by a team of a human operator and a robot helper that adapts to the human's task execution preferences. ...
Association for Computing Machinery
New York, NY, United States
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