1 citations · 1 across the 4 of their papers we have counts for
4 papers
EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point Detection
Lei Jiang, Ye Wei, Xinyu Xi +7
Financial time series exhibit non-stationary and heterogeneous statistical properties, making change-point detection challenging because no single unsupervised algorithm performs c…
OpenFinGym: A Verifiable Multi-Task Gym Environment for Evaluating Quant Agents
Kaicheng Zhang, Wen Ge, Lei Jiang +5
Although large language model agents are increasingly applied to quantitative-finance workflows, their evaluation remains fragmented across isolated tasks, while the financial rele…
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning
Jordan Langham-Lopez, Sebastian M. Schmon, Patrick Cannon
Multi-agent reinforcement learning experiments and open-source training environments are typically limited in scale, supporting tens or sometimes up to hundreds of interacting agen…
Electron-hole coherent states for the Bogoliubov-de Gennes equation
Sven Gnutzmann, Marek Kuś, Jordan Langham-Lopez
We construct a new set of generalized coherent states, the electron-hole coherent states, for a (quasi-)spin particle on the infinite line. The definition is inspired by applicatio…