Background Subtraction for Object Detection under Varying ...
Abstract. Since the invention of temporal difference (TD) learning (Sutton, 1988), many new algorithms for model-free policy evaluation have been proposed.
The Trouble with Cognitive SubtractionAbstract?We propose a novel background subtraction method for robust region extraction of moving objects in the dynamic background. In our method, a set of ... Improving Background Subtraction using Local Binary Similarity ...Off-policy temporal difference (TD) methods are a powerful class of reinforcement learning (RL) algorithms. Intriguingly, deep off-policy TD algorithms are not. Robust Region Extraction of Moving Objects in Dynamic BackgroundFor the true value function V?? (s), the TD error ??? ??? = r + ?V ?? (s ) ? V ?? (s) is an unbiased estimate of the advantage function. E?? [? ?? |s,a] ...
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