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20192026
most citedDeep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

38 citations · 62 across the 9 of their papers we have counts for

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cs.GT2026

Can Play That Game: Online Fitted -Iteration for Continuous-Action Zero-Sum Markov Games with Convex-Concave Function Approximation

Kushagra Gupta, Jingqi Li, Cade Armstrong +4

Zero-sum Markov games arise in a wide variety of sequential decision-making problems such as adversarial learning and planning against modeled uncertainties. However, prior work on…