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Near-Optimal No-Regret Learning for Correlated Equilibria in
  Multi-Player General-Sum Games

Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games

11 November 2021
Ioannis Anagnostides
C. Daskalakis
Gabriele Farina
Maxwell Fishelson
Noah Golowich
T. Sandholm
ArXivPDFHTML

Papers citing "Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games"

32 / 32 papers shown
Title
Computational Intractability of Strategizing against Online Learners
A. Assos
Y. Dagan
Nived Rajaraman
60
0
0
06 Mar 2025
Swap Regret and Correlated Equilibria Beyond Normal-Form Games
Swap Regret and Correlated Equilibria Beyond Normal-Form Games
Eshwar Ram Arunachaleswaran
Natalie Collina
Yishay Mansour
M. Mohri
Jon Schneider
Balasubramanian Sivan
61
0
0
27 Feb 2025
Corrupted Learning Dynamics in Games
Corrupted Learning Dynamics in Games
Taira Tsuchiya
Shinji Ito
Haipeng Luo
72
0
0
10 Dec 2024
Maximizing utility in multi-agent environments by anticipating the
  behavior of other learners
Maximizing utility in multi-agent environments by anticipating the behavior of other learners
A. Assos
Y. Dagan
Constantinos Daskalakis
45
4
0
05 Jul 2024
Proximal Point Method for Online Saddle Point Problem
Proximal Point Method for Online Saddle Point Problem
Qing-xin Meng
Jian-wei Liu
31
0
0
05 Jul 2024
Online Stackelberg Optimization via Nonlinear Control
Online Stackelberg Optimization via Nonlinear Control
William Brown
Christos Papadimitriou
Tim Roughgarden
OffRL
35
1
0
27 Jun 2024
The complexity of approximate (coarse) correlated equilibrium for
  incomplete information games
The complexity of approximate (coarse) correlated equilibrium for incomplete information games
Binghui Peng
Aviad Rubinstein
30
2
0
04 Jun 2024
Decentralized Online Learning in General-Sum Stackelberg Games
Decentralized Online Learning in General-Sum Stackelberg Games
Yaolong Yu
Haipeng Chen
27
0
0
06 May 2024
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks
Lunjia Hu
Yifan Wu
37
3
0
21 Apr 2024
$\widetilde{O}(T^{-1})$ Convergence to (Coarse) Correlated Equilibria in
  Full-Information General-Sum Markov Games
O~(T−1)\widetilde{O}(T^{-1})O(T−1) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games
Weichao Mao
Haoran Qiu
Chen Wang
Hubertus Franke
Zbigniew T. Kalbarczyk
Tamer Basar
33
0
0
02 Feb 2024
Contracting with a Learning Agent
Contracting with a Learning Agent
Guru Guruganesh
Y. Kolumbus
Jon Schneider
Inbal Talgam-Cohen
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Joshua R. Wang
S. M. Weinberg
44
19
0
29 Jan 2024
Near-Optimal Policy Optimization for Correlated Equilibrium in
  General-Sum Markov Games
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games
Yang Cai
Haipeng Luo
Chen-Yu Wei
Weiqiang Zheng
29
7
0
26 Jan 2024
Playing Large Games with Oracles and AI Debate
Playing Large Games with Oracles and AI Debate
Xinyi Chen
Angelica Chen
Dean Foster
Elad Hazan
30
3
0
08 Dec 2023
Fast swap regret minimization and applications to approximate correlated
  equilibria
Fast swap regret minimization and applications to approximate correlated equilibria
Binghui Peng
Aviad Rubinstein
32
24
0
30 Oct 2023
Sensor Allocation and Online-Learning-based Path Planning for Maritime
  Situational Awareness Enhancement: A Multi-Agent Approach
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach
Bach Long Nguyen
Anh-Dzung Doan
Tat-Jun Chin
Christophe Guettier
Surabhi Gupta
Estelle Parra
Ian Reid
Markus Wagner
10
1
0
06 Jul 2023
Is Learning in Games Good for the Learners?
Is Learning in Games Good for the Learners?
William Brown
Jon Schneider
Kiran Vodrahalli
14
18
0
31 May 2023
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
Minbo Gao
Zhengfeng Ji
Tongyang Li
Qisheng Wang
24
9
0
27 Apr 2023
Near Optimal Memory-Regret Tradeoff for Online Learning
Near Optimal Memory-Regret Tradeoff for Online Learning
Binghui Peng
A. Rubinstein
CLL
31
10
0
03 Mar 2023
Doubly Optimal No-Regret Learning in Monotone Games
Doubly Optimal No-Regret Learning in Monotone Games
Yang Cai
Weiqiang Zheng
40
11
0
30 Jan 2023
$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in
  Two-Player Zero-Sum Markov Games
O(T−1)O(T^{-1})O(T−1) Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
Yuepeng Yang
Cong Ma
37
14
0
26 Sep 2022
Near-Optimal $Φ$-Regret Learning in Extensive-Form Games
Near-Optimal ΦΦΦ-Regret Learning in Extensive-Form Games
Ioannis Anagnostides
Gabriele Farina
T. Sandholm
26
7
0
20 Aug 2022
Online Prediction in Sub-linear Space
Online Prediction in Sub-linear Space
Binghui Peng
Fred Zhang
23
16
0
16 Jul 2022
A Survey of Decision Making in Adversarial Games
A Survey of Decision Making in Adversarial Games
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
AAML
32
12
0
16 Jul 2022
Near-Optimal No-Regret Learning Dynamics for General Convex Games
Near-Optimal No-Regret Learning Dynamics for General Convex Games
Gabriele Farina
Ioannis Anagnostides
Haipeng Luo
Chung‐Wei Lee
Christian Kroer
T. Sandholm
15
25
0
17 Jun 2022
No-Regret Learning in Games with Noisy Feedback: Faster Rates and
  Adaptivity via Learning Rate Separation
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation
Yu-Guan Hsieh
Kimon Antonakopoulos
V. Cevher
P. Mertikopoulos
26
26
0
13 Jun 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online
  Mirror Descent
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
Yu Bai
Chi Jin
Song Mei
Ziang Song
Tiancheng Yu
OffRL
52
19
0
30 May 2022
Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer
  Games
Uncoupled Learning Dynamics with O(log⁡T)O(\log T)O(logT) Swap Regret in Multiplayer Games
Ioannis Anagnostides
Gabriele Farina
Christian Kroer
Chung-Wei Lee
Haipeng Luo
T. Sandholm
11
27
0
25 Apr 2022
Independent Natural Policy Gradient Methods for Potential Games:
  Finite-time Global Convergence with Entropy Regularization
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization
Shicong Cen
Fan Chen
Yuejie Chi
33
15
0
12 Apr 2022
Sampling Equilibria: Fast No-Regret Learning in Structured Games
Sampling Equilibria: Fast No-Regret Learning in Structured Games
Daniel Beaglehole
Max Hopkins
Daniel M. Kane
Sihan Liu
Shachar Lovett
13
3
0
26 Jan 2022
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning
  via Clairvoyant Multiplicative Weights Update
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Georgios Piliouras
Ryann Sim
Stratis Skoulakis
17
22
0
29 Nov 2021
Uncoupled Bandit Learning towards Rationalizability: Benchmarks,
  Barriers, and Algorithms
Uncoupled Bandit Learning towards Rationalizability: Benchmarks, Barriers, and Algorithms
Jibang Wu
Haifeng Xu
Fan Yao
22
1
0
10 Nov 2021
Blackwell Approachability and Low-Regret Learning are Equivalent
Blackwell Approachability and Low-Regret Learning are Equivalent
Jacob D. Abernethy
Peter L. Bartlett
Elad Hazan
78
117
0
08 Nov 2010
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