Abstract: Policy-gradient-based actor-critic algorithms are amongst the most popular algorithms in the reinforcement learning framework. Their advantage of being able to search for optimal policies ...
Distributed Adaptive Gradient Algorithm With Gradient Tracking for Stochastic Nonconvex Optimization
Abstract: This article considers a distributed stochastic nonconvex optimization problem, where the nodes in a network cooperatively minimize a sum of $L$-smooth ...
Noninvasive assessment of pressure gradients by echo‐Doppler has revolutionized the assessment of aortic stenosis. Before this, patients were diagnosed primarily based on the history and physical exam ...
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