atlas

Research map / Bandits and online learning / Online convex optimization and games

Optimism Without Regularization: Constant Regret in Zero-Sum Games

NeurIPS 2025 · Bandits and online learning › Online convex optimization and games · approach: Fast no-regret dynamics in games · 1 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Shows that unregularized Optimistic Fictitious Play attains constant regret in 2x2 zero-sum games with a unique interior Nash equilibrium (any tiebreaking), and that Alternating Fictitious Play has Omega(sqrt(T)) regret on Matching Pennies.

Problem

Whether unregularized (unbounded stepsize) fictitious play variants can achieve O(1) regret in zero-sum games, as optimistic regularized FTRL does, and whether alternation alone can beat sqrt(T) regret.

Approach

Views Optimistic FP as skew-gradient descent on the support function of the strategy simplex in dual payoff space, and shows via a 2x2 subspace reduction and cycling invariants that this energy function stays bounded, giving constant regret without regularization.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add optimism to standard fictitious playFP · Identity 15×15total regret: 155.1 ± 3.9 -> 8.1 ± 1.6Helped
Add optimism to standard fictitious playFP · RPS 15×15total regret: 235.6 ± 7.6 -> 2.9 ± 0.5Helped
Add optimism to standard fictitious playFP · Random [0, 1] 15×15total regret: 116.2 ± 5.8 -> 4.3 ± 0.8Helped
Use optimism without regularizationFictitious Play in 2×2 zero-sum games with unique interior NE · 2×2 zero-sum gamesregret: O(√T) -> O(1)Helped
Use alternation without regularization instead of optimismFictitious Play · 2×2 Matching Penniesregret: O(1) -> Ω(√T)Hurt

Surprising findings

Limitations

Experimental setup

Benchmarks: Matching Pennies identity matrix game generalized Rock-Paper-Scissors random [0,1] payoff matrices

Metrics: total regret

Baselines: Fictitious Play Alternating Fictitious Play Optimistic FTRL

Builds on: Fictitious Play Optimistic FTRL Optimistic Multiplicative Weights Optimistic Gradient Descent

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy