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Can We Find Nash Equilibria at a Linear Rate in Markov Games?

Can We Find Nash Equilibria at a Linear Rate in Markov Games?

3 March 2023
Zhuoqing Song
Jason D. Lee
Zhuoran Yang
ArXivPDFHTML

Papers citing "Can We Find Nash Equilibria at a Linear Rate in Markov Games?"

6 / 6 papers shown
Title
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity
Yan Yang
Bin Gao
Ya-xiang Yuan
36
2
0
30 May 2024
Principled Penalty-based Methods for Bilevel Reinforcement Learning and
  RLHF
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
Han Shen
Zhuoran Yang
Tianyi Chen
OffRL
32
14
0
10 Feb 2024
Robust Adversarial Reinforcement Learning via Bounded Rationality
  Curricula
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
Aryaman Reddi
Maximilian Tölle
Jan Peters
Georgia Chalvatzaki
Carlo DÉramo
29
4
0
03 Nov 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for
  Constrained MDPs
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
Dongsheng Ding
Chen-Yu Wei
K. Zhang
Alejandro Ribeiro
25
18
0
20 Jun 2023
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games
  with Bandit Feedback
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
Yang Cai
Haipeng Luo
Chen-Yu Wei
Weiqiang Zheng
8
17
0
05 Mar 2023
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
57
158
0
11 Jan 2021
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