Search Results for author:
Found 6 papers, 0 papers with code
Meta-learning the mirror map in policy mirror descent
Policy Mirror Descent (PMD) is a popular framework in reinforcement learning, serving as a unifying perspective that encompasses numerous algorithms.
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
Financial exchanges across the world use limit order books (LOBs) to process orders and match trades.
Generative AI for End-to-End Limit Order Book Modelling: A Token-Level Autoregressive Generative Model of Message Flow Using a Deep State Space Network
Overall, our results invite the use and extension of the model in the direction of autoregressive large financial models for the generation of high-frequency financial data and we commit to open-sourcing our code to facilitate future research.
Ownership at Large -- Open Problems and Challenges in Ownership Management
Software-intensive organizations rely on large numbers of software assets of different types, e. g., source-code files, tables in the data warehouse, and software configurations.
WES: Agent-based User Interaction Simulation on Real Infrastructure
We introduce the Web-Enabled Simulation (WES) research agenda, and describe FACEBOOK's WW system.
Absit invidia verbo: Comparing Deep Learning methods for offensive language
This document describes our approach to building an Offensive Language Classifier.
