Decentralized policy gradient descent ascent for safe multi-agent reinforcement learning
- Songtao Lu
- Kaiqing Zhang
- et al.
- 2021
- AAAI 2021
Conference paper
Publications
75 results for Songtao Lu
Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems
- Songtao Lu
- Jason Lee
- et al.
- 2021
- IEEE TSP
PaperRobust Beamforming Design for Covert Communications
- Shuai Ma
- Yunqi Zhang
- et al.
- 2021
- IEEE TIFS
PaperSpectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval
- Lewis Liu
- Songtao Lu
- et al.
- 2021
- IEEE TSP
PaperFinding second-order stationary points efficiently in smooth nonconvex linearly constrained optimization problems
- Songtao Lu
- Meisam Razaviyayn
- et al.
- 2020
- NeurIPS 2020
Conference paperDecentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
- Gang Wang
- Songtao Lu
- et al.
- 2020
- NeurIPS 2020
Conference paperScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
Conference paperNonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
- Meisam Razaviyayn
- Tianjian Huang
- et al.
- 2020
- IEEE SPM
PaperMin-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Conference paperImproving the sample and communication complexity for decentralized non-convex optimization: Joint gradient estimation and tracking
- Haoran Sun
- Songtao Lu
- et al.
- 2020
- ICML 2020
Conference paper