Leo Ardon

30 papers A* 1A 4C 1Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A conf
ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling.
AAMAS
Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025 J jnl
ADAGE: A generic two-layer framework for adaptive agent based modelling.
CoRR
Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025 J jnl
AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration.
CoRR
Harish Karthikeyan, Yue Guo, Leo de Castro, Antigoni Polychroniadou, Leo Ardon, Udari Madhushani Sehwag, Sumitra Ganesh, Manuela Veloso
2025 J jnl
AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration.
IACR Cryptol. ePrint Arch.
Harish Karthikeyan, Yue Guo, Leo de Castro, Antigoni Polychroniadou, Leo Ardon, Udari Madhushani Sehwag, Sumitra Ganesh, Manuela Veloso
2025 J jnl
Downside Risk-Aware Equilibria for Strategic Decision-Making.
CoRR
Oliver Slumbers, Benjamin Patrick Evans, Sumitra Ganesh, Leo Ardon
2025 A conf
FORM: Learning Expressive and Transferable First-Order Logic Reward Machines.
AAMAS
Leo Ardon, Daniel Furelos-Blanco, Roko Parac, Alessandra Russo
2025 J jnl
FORM: Learning Expressive and Transferable First-Order Logic Reward Machines.
CoRR
Leo Ardon, Daniel Furelos-Blanco, Roko Parac, Alessandra Russo
2025 J jnl
Generating Structured Plan Representation of Procedures with LLMs.
CoRR
Deepeka Garg, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025 J jnl
Generative AI Agents for Knowledge Work Augmentation in Finance.
Annu. Rev. Control. Robotics Auton. Syst.
Sumitra Ganesh, Leo Ardon, Daniel Borrajo, Deepeka Garg, Udari Madhushani Sehwag, Annapoorani Lakshmi Narayanan, Giuseppe Canonaco, Manuela M. Veloso
2025 J jnl
Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis.
CoRR
Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt, Leo Ardon, Sumitra Ganesh, Alec Koppel
2025 J jnl
Modelling bounded rational decision-making through Wasserstein constraints.
CoRR
Benjamin Patrick Evans, Leo Ardon, Sumitra Ganesh
2025 A conf
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning.
ECAI
Giuseppe Canonaco, Leo Ardon, Alberto Pozanco, Daniel Borrajo
2025 J jnl
PADME: Procedure Aware DynaMic Execution.
CoRR
Deepeka Garg, Sihan Zeng, Annapoorani Lakshmi Narayanan, Sumitra Ganesh, Leo Ardon
2024 J jnl
A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis.
CoRR
Deepeka Garg, Benjamin Patrick Evans, Leo Ardon, Annapoorani Lakshmi Narayanan, Jared Vann, Udari Madhushani, Makada Henry-Nickie, Sumitra Ganesh
2024 A* conf
Learning Robust Reward Machines from Noisy Labels.
KR
Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco, Federico Cerutti, Alessandra Russo
2024 J jnl
Learning Robust Reward Machines from Noisy Labels.
CoRR
Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco, Federico Cerutti, Alessandra Russo
2024 J jnl
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning.
CoRR
Giuseppe Canonaco, Leo Ardon, Alberto Pozanco, Daniel Borrajo
2024 — conf
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products.
ICAIF
Leo Ardon, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh
2024 J jnl
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products.
CoRR
Leo Ardon, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh
2024 C conf
TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action.
FUSION
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 Srivastava
2023 J jnl
Learning Reward Machines in Cooperative Multi-Agent Tasks.
CoRR
Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo
2023 — conf
Learning Reward Machines in Cooperative Multi-agent Tasks.
AAMAS Workshops
Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo
2023 A conf
Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems.
AAMAS
Leo Ardon, Jared Vann, Deepeka Garg, Thomas Spooner, Sumitra Ganesh
2022 J jnl
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning.
CoRR
Leo Ardon, Alberto Pozanco, Daniel Borrajo, Sumitra Ganesh
2022 J jnl
Phantom - An RL-driven framework for agent-based modeling of complex economic systems and markets.
CoRR
Leo Ardon, Jared Vann, Deepeka Garg, Tom Spooner, Sumitra Ganesh
2022 J jnl
Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP.
CoRR
Leo Ardon
2022 J jnl
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations.
CoRR
Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso
2022 J jnl
Towards a Fairer Digital Marketing Model.
CoRR
Leo Ardon, Dario Morelli, Francesco Villani, David Wheatley
2021 J jnl
Towards a fully RL-based Market Simulator.
CoRR
Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh
2021 — conf
Towards a fully rl-based market simulator.
ICAIF
Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh