Instance-dependent sample complexity for zero-sum matrix games

Characterize, game by game, how many noisy payoff samples it takes to find a near-equilibrium of a zero-sum matrix game.

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	1	+{
	2	+ "domain": "computer-science",
	3	+ "topics": [
	4	+ "learning-theory"
	5	+ ],
	6	+ "type": "proof",
	7	+ "also": [
	8	+ "algorithm"
	9	+ ],
	10	+ "source": {
	11	+ "key": "colt",
	12	+ "name": "COLT open problems",
	13	+ "url": "https://proceedings.mlr.press/v291/maiti25b.html",
	14	+ "id": "v291/maiti25b",
	15	+ "curator": "Conference on Learning Theory (COLT)",
	16	+ "poser": "Arnab Maiti",
	17	+ "status": "open",
	18	+ "as_of": "2026-10-20",
	19	+ "catalog": "0521c19bbd38"
	20	+ }
	21	+}