Experiential Reinforcement Learning
Cambridge Residency Programme: Next-generation networks for AI Datacentre Networks
The position is based at Microsoft Research Cambridge within the Future AI Infrastructure group. This role offers the opportunity to conduct cutting-edge research at the intersection of network protocols, systems design, and AI infrastructure, with…
latent-zoning-networks
Generative modeling, representation learning, and classification are three core problems in machine learning (ML), yet their state-of-the-art (SoTA) solutions remain largely disjoint. In this paper, we ask: Can a unified principle address all three? Such…
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
We propose Large Market Model (LMM), an order-level generative foundation model, for financial market simulation, akin to language modeling in the digital world. Our financial Market Simulation engine (MarS), powered by LMM, addresses the domain-specific…