Acquiring a broad range of empirical knowledge in real time by temporal-difference learning


Several robot capabilities rely on predictions about the temporally extended consequences of a robot's behaviour. We describe how a robot can both learn and make many such predictions in real time using a standard algorithm. Our experiments show that a mobile robot can learn and make thousands of accurate predictions at 10 Hz. The predictions are about the… (More)
DOI: 10.1109/ICSMC.2012.6378016


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