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Mean-Field Controls with Q-learning for Cooperative MARL: Convergence
  and Complexity Analysis

Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis

10 February 2020
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
ArXivPDFHTML

Papers citing "Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis"

22 / 22 papers shown
Title
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Emile Anand
Ishani Karmarkar
Guannan Qu
104
2
0
01 Dec 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Muhammad Aneeq uz Zaman
Alec Koppel
Mathieu Laurière
Tamer Basar
46
3
0
17 Mar 2024
On the Approximation of Cooperative Heterogeneous Multi-Agent
  Reinforcement Learning (MARL) using Mean Field Control (MFC)
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Washim Uddin Mondal
Mridul Agarwal
Vaneet Aggarwal
S. Ukkusuri
53
43
0
09 Sep 2021
Natural Actor-Critic Converges Globally for Hierarchical Linear
  Quadratic Regulator
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
Yuwei Luo
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
33
9
0
14 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
110
1,197
0
24 Nov 2019
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and
  Mean-Field Q-Learning
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
René Carmona
Mathieu Laurière
Zongjun Tan
OffRL
45
97
0
28 Oct 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic
  Mean-Field Games
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
Zuyue Fu
Zhuoran Yang
Yongxin Chen
Zhaoran Wang
76
54
0
16 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
René Carmona
Mathieu Laurière
Zongjun Tan
56
61
0
09 Oct 2019
Discrete-time average-cost mean-field games on Polish spaces
Discrete-time average-cost mean-field games on Polish spaces
Naci Saldi
22
11
0
22 Aug 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
52
558
0
12 Oct 2018
Lipschitz Continuity in Model-based Reinforcement Learning
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi
Dipendra Kumar Misra
Michael L. Littman
KELM
58
152
0
19 Apr 2018
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display
  Advertising
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising
Junqi Jin
Cheng-Ning Song
Han Li
Kun Gai
Jun Wang
Weinan Zhang
39
179
0
27 Feb 2018
Mean Field Multi-Agent Reinforcement Learning
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang
Rui Luo
Minne Li
M. Zhou
Weinan Zhang
Jun Wang
AI4CE
44
571
0
15 Feb 2018
Q-learning with Nearest Neighbors
Q-learning with Nearest Neighbors
Devavrat Shah
Qiaomin Xie
OffRL
41
78
0
12 Feb 2018
Deep Reinforcement Learning framework for Autonomous Driving
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El-Sallab
Mohammed Abdou
E. Perot
S. Yogamani
42
966
0
08 Apr 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
25
828
0
11 Oct 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
94
1,600
0
21 May 2016
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
221
6,722
0
19 Feb 2015
Practical Kernel-Based Reinforcement Learning
Practical Kernel-Based Reinforcement Learning
André Barreto
Doina Precup
Joelle Pineau
OffRL
38
43
0
21 Jul 2014
Efficient Reinforcement Learning in Deterministic Systems with Value
  Function Generalization
Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization
Zheng Wen
Benjamin Van Roy
38
42
0
18 Jul 2013
Approximate dynamic programming using fluid and diffusion approximations
  with applications to power management
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
Wei Chen
Dayu Huang
Ankur A. Kulkarni
Jayakrishnan Unnikrishnan
Quanyan Zhu
P. Mehta
Sean P. Meyn
Adam Wierman
50
36
0
06 Jul 2013
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
134
2,348
0
15 May 2008
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