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1506.07924
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Decentralized Q-Learning for Stochastic Teams and Games
25 June 2015
Gürdal Arslan
S. Yüksel
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Papers citing
"Decentralized Q-Learning for Stochastic Teams and Games"
43 / 43 papers shown
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Games
European Control Conference (ECC), 2018
Georgios C. Chasparis
63
1
0
31 Oct 2025
Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions
Frank Wu
Mengye Ren
AI4CE
216
0
0
08 Oct 2025
Grouped Satisficing Paths in Pure Strategy Games: a Topological Perspective
Yanqing Fu
Chao Huang
Chenrun Wang
Zhuping Wang
128
0
0
27 Sep 2025
Learning Closed-Loop Parametric Nash Equilibria of Multi-Agent Collaborative Field Coverage
Jushan Chen
Santiago Paternain
497
0
0
14 Mar 2025
Q-MARL: A quantum-inspired algorithm using neural message passing for large-scale multi-agent reinforcement learning
Kha Vo
Chin-Teng Lin
GNN
294
1
0
10 Mar 2025
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
Jiechuan Jiang
Kefan Su
Zongqing Lu
273
8
0
10 Jan 2024
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments
A. D. Kara
S. Yüksel
349
14
0
31 Oct 2023
Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
American Control Conference (ACC), 2023
Awni Altabaa
Bora Yongacoglu
S. Yüksel
248
3
0
16 Mar 2023
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
Neural Information Processing Systems (NeurIPS), 2023
Yang Cai
Haipeng Luo
Chen-Yu Wei
Weiqiang Zheng
304
30
0
05 Mar 2023
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
Neural Information Processing Systems (NeurIPS), 2023
Zaiwei Chen
Jianchao Tan
Eric Mazumdar
Asuman Ozdaglar
Adam Wierman
389
16
0
03 Mar 2023
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Peng Zhang
Yawen Huang
Bingzhang Hu
Shizheng Wang
Haoran Duan
Noura Al Moubayed
Yefeng Zheng
Yang Long
OffRL
208
1
0
02 Nov 2022
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Muhammad Aneeq uz Zaman
Alec Koppel
Sujay Bhatt
Tamer Basar
399
31
0
24 Aug 2022
Deep Reinforcement Learning for Distributed and Uncoordinated Cognitive Radios Resource Allocation
A. Tondwalkar
Andres Kwasinski
91
1
0
27 May 2022
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization
IEEE Conference on Decision and Control (CDC), 2022
Shicong Cen
Fan Chen
Yuejie Chi
278
17
0
12 Apr 2022
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging
Hong-mei Zhang
Kai Wang
Yan Zhou
Shadab Momin
Xiaofeng Yang
M. Fatemi
Biomedical Engineering
102
0
0
01 Apr 2022
Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games
Zuguang Gao
Qianqian Ma
Tamer Bacsar
J. Birge
OffRL
299
9
0
15 Dec 2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking
AAAI Conference on Artificial Intelligence (AAAI), 2021
Zhanhong Jiang
Xian Yeow Lee
Sin Yong Tan
Kai Liang Tan
Aditya Balu
Young M. Lee
Chinmay Hegde
Soumik Sarkar
252
11
0
06 Dec 2021
Independent Learning in Stochastic Games
Asuman Ozdaglar
M. O. Sayin
Jianchao Tan
264
35
0
23 Nov 2021
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication
Justin Lidard
Udari Madhushani
Naomi Ehrich Leonard
OffRL
330
7
0
14 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Weichao Mao
Lin F. Yang
Jianchao Tan
Tamer Bacsar
456
63
0
12 Oct 2021
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games
Dynamic Games and Applications (DGA), 2021
Weichao Mao
Tamer Basar
364
79
0
12 Oct 2021
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games
SIAM Journal on Mathematics of Data Science (SIMODS), 2021
Bora Yongacoglu
Gürdal Arslan
S. Yüksel
296
21
0
09 Oct 2021
Decentralized Inertial Best-Response with Voluntary and Limited Communication in Random Communication Networks
Sarper Aydın
Ceyhun Eksin
155
2
0
13 Jun 2021
Decentralized Q-Learning in Zero-sum Markov Games
Neural Information Processing Systems (NeurIPS), 2021
M. O. Sayin
Jianchao Tan
David S. Leslie
Tamer Basar
Asuman Ozdaglar
289
101
0
04 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity
IEEE Transactions on Automatic Control (IEEE TAC), 2021
Runyu Zhang
Tongzheng Ren
Na Li
578
54
0
01 Jun 2021
Multi-Agent Reinforcement Learning with Temporal Logic Specifications
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Lewis Hammond
Alessandro Abate
Julian Gutierrez
Michael Wooldridge
AI4CE
243
37
0
01 Feb 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
C. Daskalakis
Dylan J. Foster
Noah Golowich
533
192
0
11 Jan 2021
On Information Asymmetry in Competitive Multi-Agent Reinforcement Learning: Convergence and Optimality
Ezra Tampubolon
Haris Ceribasic
Holger Boche
121
6
0
21 Oct 2020
Fictitious play in zero-sum stochastic games
SIAM Journal of Control and Optimization (SICON), 2020
M. O. Sayin
F. Parise
Asuman Ozdaglar
377
57
0
08 Oct 2020
Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
Weichao Mao
Jianchao Tan
Ruihao Zhu
D. Simchi-Levi
Tamer Bacsar
395
18
0
07 Oct 2020
Multi-Agent Reinforcement Learning in Cournot Games
IEEE Conference on Decision and Control (CDC), 2020
Yuanyuan Shi
Baosen Zhang
223
10
0
14 Sep 2020
Off-Policy Multi-Agent Decomposed Policy Gradients
International Conference on Learning Representations (ICLR), 2020
Yihan Wang
Beining Han
Tonghan Wang
Heng Dong
Chongjie Zhang
283
207
0
24 Jul 2020
Policy Evaluation and Seeking for Multi-Agent Reinforcement Learning via Best Response
Rui Yan
Xiaoming Duan
Z. Shi
Yisheng Zhong
Jason R. Marden
Francesco Bullo
152
11
0
17 Jun 2020
Stochastic Potential Games
David Mguni
237
7
0
27 May 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning
Journal of machine learning research (JMLR), 2020
Wenhao Li
Bo Jin
Xiangfeng Wang
Junchi Yan
H. Zha
438
29
0
17 Apr 2020
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
Yuwei Luo
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
331
10
0
14 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Jianchao Tan
Zhuoran Yang
Tamer Basar
794
1,584
0
24 Nov 2019
Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation
A. Tondwalkar
Andres Kwasinski
159
4
0
29 Oct 2019
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Aaron Sidford
Mengdi Wang
Lin F. Yang
Yinyu Ye
270
75
0
29 Aug 2019
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
IEEE Internet of Things Journal (IEEE IoT Journal), 2019
Yue Xu
Zengde Deng
Mengdi Wang
Wenjun Xu
Anthony Man-Cho So
Shuguang Cui
290
16
0
02 Jul 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Chao Qu
Shie Mannor
Huan Xu
Yuan Qi
Le Song
Junwu Xiong
265
49
0
27 Jan 2019
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Hoi-To Wai
Zhuoran Yang
Zhaoran Wang
Mingyi Hong
361
183
0
03 Jun 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Jianchao Tan
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
504
667
0
23 Feb 2018
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