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

Towards a Fairer Digital Marketing Model. - Leo Ardon; Dario Morelli; Francesco Villani; David Wheatley (CoRR, 2022)

Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP. - Leo Ardon (CoRR, 2022)

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)

Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning. - Leo Ardon; Alberto Pozanco; Daniel Borrajo; Sumitra Ganesh (CoRR, 2022)

Learning Reward Machines in Cooperative Multi-agent Tasks. - Leo Ardon; Daniel Furelos-Blanco; Alessandra Russo (AAMAS Workshops, 2023)

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

TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action. - Julian de Gortari Briseno; Roko Parac; Leo Ardon; Marc Roig Vilamala; Daniel Furelos-Blanco; Lance M. Kaplan; Vinod K. Mishra; Federico Cerutti 001; Alun D. Preece; Alessandra Russo; Mani Srivastava 001 (FUSION, 2024)

Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products. - Leo Ardon; Benjamin Patrick Evans; Deepeka Garg; Annapoorani Lakshmi Narayanan; Makada Henry-Nickie; Sumitra Ganesh (ICAIF, 2024)

Learning Robust Reward Machines from Noisy Labels. - Roko Parac; Lorenzo Nodari; Leo Ardon; Daniel Furelos-Blanco; Federico Cerutti 001; Alessandra Russo (KR, 2024)

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)

On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning. - Giuseppe Canonaco; Leo Ardon; Alberto Pozanco; Daniel Borrajo (CoRR, 2024)

FORM: Learning Expressive and Transferable First-Order Logic Reward Machines. - Leo Ardon; Daniel Furelos-Blanco; Roko Parac; Alessandra Russo (AAMAS, 2025)

ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling. - Benjamin Patrick Evans; Sihan Zeng; Sumitra Ganesh; Leo Ardon (AAMAS, 2025)

Generative AI Agents for Knowledge Work Augmentation in Finance. - Sumitra Ganesh; Leo Ardon; Daniel Borrajo; Deepeka Garg; Udari Madhushani Sehwag; Annapoorani Lakshmi Narayanan; Giuseppe Canonaco; Manuela M. Veloso (Annu. Rev. Control. Robotics Auton. Syst., 2025)

Generating Structured Plan Representation of Procedures with LLMs. - Deepeka Garg; Sihan Zeng; Sumitra Ganesh; Leo Ardon (CoRR, 2025)

Modelling bounded rational decision-making through Wasserstein constraints. - Benjamin Patrick Evans; Leo Ardon; Sumitra Ganesh (CoRR, 2025)