A symmetric recursive algorithm for mean-payoff games
arXiv:2603.07555v1
Predicted impact top 52% in GT · last 90 daysOriginality Synthesis-oriented
AI Analysis
This work addresses the problem of solving mean-payoff games, which is relevant for researchers and practitioners in game theory and algorithmic decision-making. It appears to be an incremental contribution to existing methods.
This paper introduces a new deterministic symmetric recursive algorithm for solving mean-payoff games. The abstract does not provide concrete numbers or specific results regarding its performance or impact.
We propose a new deterministic symmetric recursive algorithm for solving mean-payoff games.