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Leo Ardon
Leo Ardon
AI Researcher at J.P. Morgan AI Research, Imperial College London
Verified email at jpmorgan.com
Title
Cited by
Cited by
Year
Towards a fully RL-based Market Simulator
L Ardon, N Vadori, T Spooner, M Xu, J Vann, S Ganesh
ICAIF 2021: ACM International Conference on AI in Finance, 2021
162021
Towards a fairer digital marketing model
L Ardon, D Morelli, F Villani, D Wheatley
arXiv preprint arXiv:2201.05368, 2022
62022
Reinforcement learning to solve np-hard problems: an application to the cvrp
L Ardon
arXiv preprint arXiv:2201.05393, 2022
62022
Phantom--A RL-driven multi-agent framework to model complex systems
L Ardon, J Vann, D Garg, T Spooner, S Ganesh
arXiv preprint arXiv:2210.06012, 2022
5*2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations
N Vadori, L Ardon, S Ganesh, T Spooner, S Amrouni, J Vann, M Xu, ...
Mathematical Finance, 2023
42023
Learning Reward Machines in Cooperative Multi-Agent Tasks
L Ardon, D Furelos-Blanco, A Russo
Autonomous Agents and Multiagent Systems 14456 (Best and Visionary Papers …, 2023
12023
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning
G Canonaco, L Ardon, A Pozanco, D Borrajo
arXiv preprint arXiv:2404.07826, 2024
2024
A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis
D Garg, BP Evans, L Ardon, AL Narayanan, J Vann, U Madhushani, ...
arXiv preprint arXiv:2402.17932, 2024
2024
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning
L Ardon, A Pozanco, D Borrajo, S Ganesh
PRL Workshop Series - Bridging the Gap Between AI Planning and Reinforcement …, 2023
2023
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