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Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation
Most of the existing methods solve reinforcement learning-based wireless problems for a specific pre-determined wireless network scenario.
Noisy One-bit Compressed Sensing with Side-Information
SI is either a noisy version of the signal or a noisy estimate of the support of the signal.
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
In this work, we propose a distributed algorithm for stochastic non-convex optimization.
Optimization and Control Distributed, Parallel, and Cluster Computing
Parallel Restarted SPIDER -- Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
For online problems ($n$ unknown or infinite), we achieve the optimal IFO complexity $O(\epsilon^{-3/2})$.
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