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Vairiational Stochastic Games

8 March 2025
Zhiyu Zhao
Haifeng Zhang
ArXiv (abs)PDFHTML

Papers citing "Vairiational Stochastic Games"

7 / 7 papers shown
Title
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
126
94
0
02 Feb 2021
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
221
1,225
0
24 Nov 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized
  Recursive Reasoning
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Ying Wen
Yaodong Yang
Rui Luo
Jun Wang
LRM
96
52
0
26 Jan 2019
Reinforcement Learning and Control as Probabilistic Inference: Tutorial
  and Review
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CEBDL
95
674
0
02 May 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu
Emily L. Denton
Arthur Szlam
Rob Fergus
74
202
0
26 Feb 2018
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
307
4,817
0
04 Jan 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
330
13,295
0
09 Sep 2015
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