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Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning
Stochastic approximation, a data-driven approach for finding the fixed p...
10/28/2020 ∙ by Sihan Zeng, et al. ∙
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A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning
We develop a mathematical framework for solving multi-task reinforcement...
06/08/2020 ∙ by Sihan Zeng, et al. ∙
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Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables
Deep learning models have significantly improved the visual quality and ...
02/19/2019 ∙ by Shaojie Xu, et al. ∙
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