Learning Distributed and Fair Policies for Network Load Balancing as
Markov Potential Game

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Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game

3 June 2022

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Papers citing "Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game"

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Title
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 80 49 0 20 Oct 2021
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos W. Overman Ioannis Panageas Georgios Piliouras 85 123 0 03 Jun 2021
Learning in Nonzero-Sum Stochastic Games with Potentials D. Mguni Yutong Wu Yali Du Yaodong Yang Ziyi Wang Minne Li Ying Wen Joel Jennings Jun Wang 88 46 0 16 Mar 2021
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning Matthieu Zimmer Claire Glanois Umer Siddique Paul Weng OffRL 160 60 0 17 Dec 2020
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? Christian Schroeder de Witt Tarun Gupta Denys Makoviichuk Viktor Makoviychuk Philip Torr Mingfei Sun Shimon Whiteson 84 344 0 18 Nov 2020
Multi-Agent Trust Region Policy Optimization Hepeng Li Haibo He 84 42 0 15 Oct 2020
Distributed Dispatching in the Parallel Server Model G. Goren S. Vargaftik Yoram Moses 30 9 0 03 Aug 2020
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 64 71 0 31 Oct 2019
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions V. Sivakumar Olivier Delalleau Tim Rocktaschel Alexander H. Miller Heinrich Küttler Nantas Nardelli Michael G. Rabbat Joelle Pineau Sebastian Riedel 72 36 0 09 Oct 2019
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control Shanghang Zhang Qi Zhang Jieyu Lin 31 100 0 06 Sep 2019
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 90 646 0 03 Oct 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 166 1,676 0 30 Mar 2018
Learning Parametric Closed-Loop Policies for Markov Potential Games Sergio Valcarcel Macua Javier Zazo S. Zazo 74 46 0 03 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 81 1,013 0 16 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,520 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 156 2,090 0 24 May 2017
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 607 12,745 0 11 Dec 2014