Communication-Efficient Policy Gradient Methods for Distributed
Reinforcement Learning

Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning

7 December 2018

Tianyi Chen

Papers citing "Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning"

8 / 8 papers shown

Title
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 29 13 0 11 Jun 2022
Robust Event-Driven Interactions in Cooperative Multi-Agent Learning Daniel Jarne Ornia M. Mazo 29 1 0 07 Apr 2022
Event-Based Communication in Distributed Q-Learning Daniel Jarne Ornia M. Mazo 23 1 0 03 Sep 2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT Wanlu Lei Yu Ye Ming Xiao Mikael Skoglund Zhu Han 16 1 0 30 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms K. Zhang Zhuoran Yang Tamer Basar 36 1,180 0 24 Nov 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 16 91 0 26 Oct 2019