Leo Ardon

According to our database, Leo Ardon authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Robust Reward Machines from Noisy Labels.

Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco, Federico Cerutti, Alessandra Russo

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

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

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

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

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, Alun D. Preece, Alessandra Russo, Mani B. Srivastava

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems.

Leo Ardon, Jared Vann, Deepeka Garg, Thomas Spooner, Sumitra Ganesh

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning Reward Machines in Cooperative Multi-agent Tasks.

Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo

Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2023 Workshops, London, UK, May 29, 2023

2022

Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning.

Leo Ardon, Alberto Pozanco, Daniel Borrajo, 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 - 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

Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP.

Leo Ardon

CoRR, 2022

Towards a Fairer Digital Marketing Model.

Leo Ardon, Dario Morelli, Francesco Villani, David Wheatley

CoRR, 2022

2021

Towards a fully rl-based market simulator.

Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021