Communication-Efficient Policy Gradient Methods for Distributed
Reinforcement Learning

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Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning

7 December 2018

Tianyi Chen

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

14 / 14 papers shown

Title
Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability Tianyi Chen Sergio Barbarossa Xin Wang G. Giannakis Zhi-Li Zhang 51 81 0 27 Oct 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen G. Giannakis Tao Sun W. Yin 58 298 0 25 May 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 191 1,070 0 24 May 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 108 592 0 23 Feb 2018
A Berkeley View of Systems Challenges for AI Ion Stoica Basel Alomair Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 71 200 0 15 Dec 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 164 4,520 0 07 Jun 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability Shayegan Omidshafiei Jason Pazis Chris Amato Jonathan P. How J. Vian 152 499 0 17 Mar 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 120 840 0 11 Oct 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 225 5,087 0 05 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Multiagent Cooperation and Competition with Deep Reinforcement Learning Ardi Tampuu Tambet Matiisen Dorian Kodelja Ilya Kuzovkin Kristjan Korjus Juhan Aru Jaan Aru Raul Vicente 104 868 0 27 Nov 2015
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 112 505 0 15 Jul 2015
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 214 2,273 0 28 Jun 2011
Infinite-Horizon Policy-Gradient Estimation Jonathan Baxter Peter L. Bartlett 111 812 0 03 Jun 2011

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