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02/07/2022
Evaluating Robustness of Cooperative MARL: A Model-based Approach
In recent years, a proliferation of methods were developed for cooperati...
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03/05/2021
Federated Learning with Randomized Douglas-Rachford Splitting Methods
In this paper, we develop two new algorithms, called, FedDR and asyncFed...
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03/24/2020
Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness
Motivated by broad applications in reinforcement learning and machine le...
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03/01/2020
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
We propose a novel hybrid stochastic policy gradient estimator by combin...
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02/17/2020
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
We develop two new stochastic Gauss-Newton algorithms for solving a clas...
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07/08/2019
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization
In this paper, we introduce a new approach to develop stochastic optimiz...
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05/15/2019
Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization
We introduce a hybrid stochastic estimator to design stochastic gradient...
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02/15/2019