Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective

31 January 2019

Papers citing "Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective"

7 / 7 papers shown

Title
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Elissa Mhanna Mohamad Assaad 55 1 0 30 Jan 2024
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks Vincent Herrmann Louis Kirsch Jürgen Schmidhuber AI4CE 48 5 0 29 Dec 2022
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique Elissa Mhanna Mohamad Assaad 33 4 0 11 Oct 2022
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph Gangshan Jing H. Bai Jemin George A. Chakrabortty P. Sharma OffRL 26 6 0 10 Jan 2022
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design Ye Yuan Yuda Song Zhengyi Luo Wen Sun Kris Kitani 27 35 0 07 Oct 2021
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 26 224 0 11 Jun 2020
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods Ching-An Cheng Xinyan Yan Byron Boots 25 22 0 08 Aug 2019