Abstract: Learning policies in an asynchronous parallel way is essential to numerous successes of reinforcement learning for solving complex problems. However, their convergence has not been ...
Will the New Jersey Devils (16-12-1) finally find traction on this slipper, five-game losing streak, slope? They head north of the border to the Canadian Tire Center to take on the Ottawa Senators (13 ...
Abstract: Parallel stochastic gradient methods are gaining prominence in solving large-scale machine learning problems that involve data distributed across multiple nodes. However, obtaining unbiased ...
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