"last-iterate convergence" Papers
12 papers found
Conference
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu et al.
ICLR 2025arXiv:2410.02388
1
citations
Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games
Yanzheng Chen, Jun Yu
ICLR 2025
Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games
Runyu Lu, Yuanheng Zhu, Dongbin Zhao
ICLR 2025
3
citations
Efficient Last-Iterate Convergence in Solving Extensive-Form Games
Linjian Meng, Tianpei Yang, Youzhi Zhang et al.
NEURIPS 2025
Last-iterate Convergence in Regularized Graphon Mean Field Game
Jing Dong, Baoxiang Wang, Yaoliang Yu
AAAI 2025paperarXiv:2410.08746
2
citations
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Yang Cai, Gabriele Farina, Julien Grand-Clément et al.
ICLR 2025arXiv:2311.00676
7
citations
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos, Debmalya Mandal, Goran Radanovic
AAAI 2025paperarXiv:2505.05609
6
citations
Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization
Abhishek Roy, Geelon So, Yian Ma
NEURIPS 2025
11
citations
Adaptively Perturbed Mirror Descent for Learning in Games
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto et al.
ICML 2024arXiv:2305.16610
9
citations
Efficient Learning in Polyhedral Games via Best-Response Oracles
Darshan Chakrabarti, Gabriele Farina, Christian Kroer
AAAI 2024paperarXiv:2312.03696
4
citations
On the Last-Iterate Convergence of Shuffling Gradient Methods
Zijian Liu, Zhengyuan Zhou
ICML 2024arXiv:2403.07723
8
citations
Truly No-Regret Learning in Constrained MDPs
Adrian Müller, Pragnya Alatur, Volkan Cevher et al.
ICML 2024spotlightarXiv:2402.15776
16
citations