ABIDES-gym: gym environments for multi-agent discrete event simulation and application to financial markets. - Selim Amrouni; Aymeric Moulin; Jared Vann; Svitlana Vyetrenko; Tucker Balch; Manuela Veloso (ICAIF, 2021)

Towards a fully rl-based market simulator. - Leo Ardon; Nelson Vadori; Thomas Spooner; Mengda Xu; Jared Vann; Sumitra Ganesh (ICAIF, 2021)

Phantom - An RL-driven framework for agent-based modeling of complex economic systems and markets. - Leo Ardon; Jared Vann; Deepeka Garg; Tom Spooner; Sumitra Ganesh (CoRR, 2022)

Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. - Nelson Vadori; Leo Ardon; Sumitra Ganesh; Thomas Spooner; Selim Amrouni; Jared Vann; Mengda Xu; Zeyu Zheng; Tucker Balch; Manuela Veloso (CoRR, 2022)

Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems. - Leo Ardon; Jared Vann; Deepeka Garg; Thomas Spooner; Sumitra Ganesh (AAMAS, 2023)

O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models. - Yuchen Xiao; Yanchao Sun; Mengda Xu; Udari Madhushani; Jared Vann; Deepeka Garg; Sumitra Ganesh (CoRR, 2023)

A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis. - Deepeka Garg; Benjamin Patrick Evans; Leo Ardon; Annapoorani Lakshmi Narayanan; Jared Vann; Udari Madhushani; Makada Henry-Nickie; Sumitra Ganesh (CoRR, 2024)

In-Context Learning with Topological Information for Knowledge Graph Completion. - Udari Madhushani Sehwag; Kassiani Papasotiriou; Jared Vann; Sumitra Ganesh (CoRR, 2024)