2 papers
cs.LG2026
Neural Operators for Multi-Task Control and Adaptation
David Sewell, Xingjian Li, Stepan Tretiakov +2
Neural operator methods have emerged as powerful tools for learning mappings between infinite-dimensional function spaces, yet their potential in optimal control remains largely un…
cs.GT2025
Disc Game Dynamics: A Latent Space Perspective on Selection and Learning in Games
Pablo Lechon-Alonso, Andrew Dennehy, Ruizheng Bai +5
Evolutionary game theory studies populations that change in response to an underlying game. Often, the functional form relating outcome to player attributes or strategy is complex,…