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2005.13996
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Chaos, Extremism and Optimism: Volume Analysis of Learning in Games
Neural Information Processing Systems (NeurIPS), 2020
28 May 2020
Yun Kuen Cheung
Georgios Piliouras
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Papers citing
"Chaos, Extremism and Optimism: Volume Analysis of Learning in Games"
16 / 16 papers shown
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
AAAI Conference on Artificial Intelligence (AAAI), 2025
Yi-Hu Feng
Tianlin Li
Tian Xie
430
1
0
26 Feb 2025
Chaos persists in large-scale multi-agent learning despite adaptive learning rates
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Lampros Flokas
Georgios Piliouras
277
1
0
01 Jun 2023
The Replicator Dynamic, Chain Components and the Response Graph
International Conference on Algorithmic Learning Theory (ALT), 2022
O. Biggar
Iman Shames
244
8
0
30 Sep 2022
Learning in Congestion Games with Bandit Feedback
Neural Information Processing Systems (NeurIPS), 2022
Qiwen Cui
Zhihan Xiong
Maryam Fazel
S. Du
382
19
0
04 Jun 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
International Conference on Machine Learning (ICML), 2022
Dongsheng Ding
Chen-Yu Wei
Jianchao Tan
M. Jovanović
517
83
0
08 Feb 2022
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Time-Average Convergence in a Generalization of Multiagent Zero-Sum Games
James P. Bailey
228
0
0
06 Oct 2021
Stochastic Multiplicative Weights Updates in Zero-Sum Games
James P. Bailey
Sai Ganesh Nagarajan
Georgios Piliouras
179
5
0
05 Oct 2021
Evolutionary Dynamics and
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-Regret Minimization in Games
Georgios Piliouras
Mark Rowland
Shayegan Omidshafiei
Romuald Elie
Daniel Hennes
Jerome T. Connor
K. Tuyls
237
2
0
28 Jun 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
International Conference on Machine Learning (ICML), 2021
Yun Kuen Cheung
Georgios Piliouras
191
9
0
09 Jun 2021
Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
M. Fasoulakis
E. Markakis
Yannis Pantazis
Constantinos Varsos
396
8
0
07 Jun 2021
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
International Conference on Machine Learning (ICML), 2021
N. Vadori
Rahul Savani
Thomas Spooner
Sumitra Ganesh
324
4
0
04 Jun 2021
Learning in Markets: Greed Leads to Chaos but Following the Price is Right
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Yun Kuen Cheung
Stefanos Leonardos
Georgios Piliouras
390
18
0
15 Mar 2021
Learning in Matrix Games can be Arbitrarily Complex
Annual Conference Computational Learning Theory (COLT), 2021
Gabriel P. Andrade
Rafael Frongillo
Georgios Piliouras
269
30
0
05 Mar 2021
Poincaré-Bendixson Limit Sets in Multi-Agent Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
A. Czechowski
Georgios Piliouras
166
6
0
29 Jan 2021
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
Neural Information Processing Systems (NeurIPS), 2021
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
MLT
254
15
0
13 Jan 2021
No-regret learning and mixed Nash equilibria: They do not mix
Neural Information Processing Systems (NeurIPS), 2020
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Thanasis Lianeas
P. Mertikopoulos
Georgios Piliouras
317
95
0
19 Oct 2020
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