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Normal-Form Correlation in Markov Games

Paper recorded by Signals 4 on 2026-10-02 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-02 on arXiv · recorded by Signals 4 on 2026-10-05

Category: cs.LG · 机器学习 · first seen 2026-10-05

Abstract

There has been a surge of recent work on correlated equilibrium concepts in Markov games. However, existing results focus on concepts weaker than normal-form correlated equilibria (NFCEs), leaving open the more challenging question of computing such equilibria, which goes back to the seminal work of Papadimitriou and Roughgarden (JACM'08). Here, we establish the first efficient algorithm for NFCEs

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#397 most recent of 762 cs.LG papers we have recorded · ↑ newer: FALCON: A Model and Dataset Agnostic Framework for Synthetic Data Gene · ↓ older: UniIntervene++: An Adaptive Intervention Agent for Efficient Real-Worl
Cite this page: Normal-Form Correlation in Markov Games: the #397 most recent of 762 cs.LG papers we have recorded (as of 2026-10-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/normal-form-correlation-in-markov-games.html
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