Leo Ardon

Orcid: 0000-0003-4400-7127

According to our database1, Leo Ardon authored at least 18 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Modelling bounded rational decision-making through Wasserstein constraints.
CoRR, April, 2025

Generating Structured Plan Representation of Procedures with LLMs.
CoRR, April, 2025

Generative AI Agents for Knowledge Work Augmentation in Finance.
Annu. Rev. Control. Robotics Auton. Syst., 2025

ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

FORM: Learning Expressive and Transferable First-Order Logic Reward Machines.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning.
CoRR, 2024

A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis.
CoRR, 2024

Learning Robust Reward Machines from Noisy Labels.
Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action.
Proceedings of the 27th International Conference on Information Fusion, 2024

2023
Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning Reward Machines in Cooperative Multi-agent Tasks.
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.
CoRR, 2022

Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations.
CoRR, 2022

Phantom - An RL-driven framework for agent-based modeling of complex economic systems and markets.
CoRR, 2022

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

Towards a Fairer Digital Marketing Model.
CoRR, 2022

2021
Towards a fully rl-based market simulator.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021


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