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Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization

Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization

Davood Hajinezhad
Michael M. Zavlanos
ArXiv (abs)PDFHTML

Papers citing "Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization"

4 / 4 papers shown
Title
Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer
Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer
Yanjun Zhao
Sizhe Dang
Haishan Ye
Guang Dai
Yi Qian
Ivor W.Tsang
148
13
0
23 Feb 2024
Fine-Tuning Language Models with Just Forward Passes
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
136
205
0
27 May 2023
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Yan Zhang
Michael M. Zavlanos
OffRL
69
24
0
18 Jun 2020
Efficiently avoiding saddle points with zero order methods: No gradients required
Efficiently avoiding saddle points with zero order methods: No gradients required
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
75
34
0
29 Oct 2019

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