2024
RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model
AISTATS 2024poster
Efficiently learning equilibria with large state and action spaces in general-sum Markov games while overcoming the curse of multi-agency is a challenging problem. Recent works have attempted to solve this problem by employing independent linear function classes to approximate the marginal $Q$-value…