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Decentralised Learning in Systems with Many, Many Strategic Agents

Decentralised Learning in Systems with Many, Many Strategic Agents

13 March 2018
D. Mguni
Joel Jennings
Enrique Munoz de Cote
ArXiv (abs)PDFHTML

Papers citing "Decentralised Learning in Systems with Many, Many Strategic Agents"

31 / 31 papers shown
Title
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
173
2
0
05 Jun 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems
MANSA: Learning Fast and Slow in Multi-Agent Systems
D. Mguni
Hao Chen
Taher Jafferjee
Jianhong Wang
Long Fei
Xidong Feng
Stephen Marcus McAleer
Feifei Tong
Jun Wang
Yaodong Yang
58
2
0
12 Feb 2023
A Survey on Large-Population Systems and Scalable Multi-Agent
  Reinforcement Learning
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Kai Cui
Anam Tahir
Gizem Ekinci
Ahmed Elshamanhory
Yannick Eich
Mengguang Li
Heinz Koeppl
AI4CE
166
15
0
08 Sep 2022
Taming Multi-Agent Reinforcement Learning with Estimator Variance
  Reduction
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
Taher Jafferjee
Juliusz Ziomek
Tianpei Yang
Zipeng Dai
Jianhong Wang
Matthew E. Taylor
Kun Shao
Jun Wang
D. Mguni
64
1
0
02 Sep 2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games
Individual-Level Inverse Reinforcement Learning for Mean Field Games
Yang Chen
Libo Zhang
Jiamou Liu
Shuyue Hu
AI4CE
80
9
0
13 Feb 2022
Independent Policy Gradient for Large-Scale Markov Potential Games:
  Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Dongsheng Ding
Chen-Yu Wei
Kai Zhang
M. Jovanović
88
69
0
08 Feb 2022
Decentralized Mean Field Games
Decentralized Mean Field Games
Sriram Ganapathi Subramanian
Matthew E. Taylor
Mark Crowley
Pascal Poupart
OODOffRL
116
15
0
16 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent
  Learning
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
D. Mguni
Taher Jafferjee
Jianhong Wang
Oliver Slumbers
Nicolas Perez Nieves
Feifei Tong
Yang Li
Jiangcheng Zhu
Yaodong Yang
Jun Wang
114
19
0
05 Dec 2021
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Kai Cui
Heinz Koeppl
AI4CE
154
37
0
29 Nov 2021
Generalization in Mean Field Games by Learning Master Policies
Generalization in Mean Field Games by Learning Master Policies
Sarah Perrin
Mathieu Laurière
Julien Pérolat
Romuald Élie
Matthieu Geist
Olivier Pietquin
AI4CE
147
37
0
20 Sep 2021
Reinforcement Learning for Mean Field Games, with Applications to
  Economics
Reinforcement Learning for Mean Field Games, with Applications to Economics
Andrea Angiuli
J. Fouque
Mathieu Lauriere
79
27
0
25 Jun 2021
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
Matthieu Geist
Julien Pérolat
Mathieu Laurière
Romuald Elie
Sarah Perrin
Olivier Bachem
Rémi Munos
Olivier Pietquin
106
65
0
07 Jun 2021
Discrete-Time Mean Field Control with Environment States
Discrete-Time Mean Field Control with Environment States
Kai Cui
Anam Tahir
Mark Sinzger
Heinz Koeppl
AI4CE
71
13
0
30 Apr 2021
Learning in Nonzero-Sum Stochastic Games with Potentials
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
97
46
0
16 Mar 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep
  Reinforcement Learning
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Kai Cui
Heinz Koeppl
138
94
0
02 Feb 2021
Partially Observable Mean Field Reinforcement Learning
Partially Observable Mean Field Reinforcement Learning
Sriram Ganapathi Subramanian
Matthew E. Taylor
Mark Crowley
Pascal Poupart
OOD
106
27
0
31 Dec 2020
Model Free Reinforcement Learning Algorithm for Stationary Mean field
  Equilibrium for Multiple Types of Agents
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents
A. Ghosh
Vaneet Aggarwal
105
7
0
31 Dec 2020
Exploratory LQG Mean Field Games with Entropy Regularization
Exploratory LQG Mean Field Games with Entropy Regularization
Dena Firoozi
S. Jaimungal
105
31
0
25 Nov 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and
  Applications
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin
Julien Perolat
Mathieu Laurière
Matthieu Geist
Romuald Elie
Olivier Pietquin
91
121
0
05 Jul 2020
Unified Reinforcement Q-Learning for Mean Field Game and Control
  Problems
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems
Andrea Angiuli
J. Fouque
Mathieu Laurière
140
74
0
24 Jun 2020
Stochastic Potential Games
David Mguni
53
7
0
27 May 2020
A General Framework for Learning Mean-Field Games
A General Framework for Learning Mean-Field Games
Xin Guo
Anran Hu
Renyuan Xu
Junzi Zhang
OffRLAI4CE
137
51
0
13 Mar 2020
Multi Type Mean Field Reinforcement Learning
Multi Type Mean Field Reinforcement Learning
Sriram Ganapathi Subramanian
Pascal Poupart
Matthew E. Taylor
N. Hegde
AI4CE
144
56
0
06 Feb 2020
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
83
99
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
109
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
104
63
0
09 Oct 2019
On the Convergence of Model Free Learning in Mean Field Games
On the Convergence of Model Free Learning in Mean Field Games
Romuald Elie
Julien Pérolat
Mathieu Laurière
Matthieu Geist
Olivier Pietquin
112
93
0
04 Jul 2019
Deep Fictitious Play for Stochastic Differential Games
Deep Fictitious Play for Stochastic Differential Games
Ruimeng Hu
105
29
0
22 Mar 2019
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative
  Systems
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems
D. Mguni
Joel Jennings
Sergio Valcarcel Macua
Emilio Sison
S. Ceppi
Enrique Munoz de Cote
57
39
0
30 Jan 2019
Balancing Two-Player Stochastic Games with Soft Q-Learning
Balancing Two-Player Stochastic Games with Soft Q-Learning
Jordi Grau-Moya
Felix Leibfried
Haitham Bou-Ammar
122
43
0
09 Feb 2018
An Information-Theoretic Optimality Principle for Deep Reinforcement
  Learning
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
101
24
0
06 Aug 2017
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