On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization

18 June 2023

Papers citing "On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization"

8 / 8 papers shown

Title
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality Ruijia Zhang Siliang Zeng Chenliang Li Alfredo García Mingyi Hong 62 0 0 22 Mar 2025
A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence Kexuan Wang An Liu Baishuo Liu 16 1 0 10 Jun 2023
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions Aaron Mishkin Arda Sahiner Mert Pilanci OffRL 73 30 0 02 Feb 2022
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach Trevor Bonjour Marina Haliem A. Alsalem Shilpa Thomas Hongyu Li Vaneet Aggarwal M. Kejriwal Bharat K. Bhargava 29 14 0 01 Mar 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm S. Khodadadian Zaiwei Chen S. T. Maguluri CML OffRL 69 26 0 18 Feb 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 87 136 0 30 Jan 2021
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 88 145 0 04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,628 0 02 Feb 2020