1 citations · 1 across the 4 of their papers we have counts for
4 papers
Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations
Aditya Makkar, Benjamin Unger, Jeongyeol Kwon +3
Modern multi-agent systems are increasingly deployed at scale over large populations of agents in settings such as ad-auctions, traffic routing, and recommendation systems. The dom…
Multiplayer Interactive World Models with Representation Autoencoders
Anthony Hu, Václav Volhejn, Adrien Ramanana Rahary +24
We introduce the first multiplayer world model for highly dynamic environments governed by complex physical interactions. Whereas single-player world models treat the other agents…
Composite Classifier-Free Guidance for Multi-Modal Conditioning in Wind Dynamics Super-Resolution
Jacob Schnell, Aditya Makkar, Gunadi Gani +5
Various weather modelling problems (e.g., weather forecasting, optimizing turbine placements, etc.) require ample access to high-resolution, highly accurate wind data. Acquiring su…
SignSpeak: Open-Source Time Series Classification for ASL Translation
Aditya Makkar, Divya Makkar, Aarav Patel +1
The lack of fluency in sign language remains a barrier to seamless communication for hearing and speech-impaired communities. In this work, we propose a low-cost, real-time ASL-to-…