2 papers
cs.MA2026
Teaching an Old Dynamics New Tricks: Regularization-free Last-iterate Convergence in Zero-sum Games via BNN Dynamics
Tuo Zhang, Leonardo Stella
Zero-sum games are a fundamental setting for adversarial training and decision-making in multi-agent learning (MAL). Existing methods often ensure convergence to (approximate) Nash…
cs.LG2025
Experience-replay Innovative Dynamics
Tuo Zhang, Leonardo Stella, Julian Barreiro-Gomez
Despite its groundbreaking success, multi-agent reinforcement learning (MARL) still suffers from instability and nonstationarity. Replicator dynamics, the most well-known model fro…