Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

Zhiyao Zhang; Myeung Suk Oh; FNU Hairi; Ziyue Luo; Alvaro Velasquez; Jia Liu

2025 ICML ICML 2025

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Zhiyao Zhang, Myeung Suk Oh, FNU Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu

Topics

Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Optimization & Theory > Optimization Reinforcement Learning > Methods > Multi-Agent Systems

Keywords

linear function approximation global optimality finite-time convergence stationary solution non-linear deep neural actor-critic

Download PDF