The Trouble with Cognitive Subtraction
Abstract?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] ... Lecture 7: Policy Gradient - David SilverThe vast majority of TD methods for con- trol learn a policy by bootstrapping from a single action-value function (e.g., Q-learning and Sarsa).
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