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In many real-world scenarios, rewards extrinsic to the agent are extremely sparse, or absent altogether. In such cases, curiosity can serve as an intrinsic reward signal to enable the agent to explore its environment and learn skills that might be useful later in its life. We formulate curiosity as the error in an agent's ability to predict the consequence of its own actions in a visual feature space...
Inter prediction based on block matching motion estimation is important for video coding. But this method suffers from the additional overhead in data rate representing the motion information that needs to be transmitted to the decoder. To solve this problem, we present an improved implicit motion information inter prediction algorithm for P slice in H.264/AVC based on the spatio-temporal adaptive...
Biological systems tend to perform a range of tasks of extreme variability with extraordinary efficiency. It has been argued that a plausible scenario for achieving such versatility is explicitly learning a forward model. We perform a set of experiments using the original and a modified version of a classic reinforcement learning task, the mountain car problem, using a number of agents that encode...
The accurate recognition of translation initiation sites (TISs) is an important stage in genome annotation. Due to the complicated nature of the genetic information and our incomplete understanding of it, TIS prediction remains a challenging undertaking. Many computational approaches have been proposed in the literature, some of which have yielded quite impressive performance. However, most of them...
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