Author

Aditya Makkar

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#machine learning Preprint Aug 2026

Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations

A mean-field RL framework is introduced in which the rewards and transition dynamics depend on the population only through an unknown low-dimensional aggregate statistic, and it is shown that under a fixed neural-network parameter count and optimization budget, learning a low-dimensional population representation impro...

Aditya Makkar, B. Unger, Jeongyeol Kwon et al. · 0 citations

Jul 2026

Multiplayer Interactive World Models with Representation Autoencoders

The first multiplayer world model for highly dynamic environments governed by complex physical interactions is introduced, and how behavior changes with model and data scale is characterized, including the capabilities that emerge and the failure modes that persist.

Anthony Hu, V'aclav Volhejn, Adrien Ramanana Rahary et al. · arXiv.org · 4 citations