Nelson Vadori - RankMe

19 papers A* 4A 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Learning Mathematical Rules with Large Language Models. CoRR Antoine Gorceix, Bastien Le Chenadec, Ahmad Rammal, Nelson Vadori, Manuela Veloso
2024	A	`conf`	Ordinal Potential-based Player Rating. AISTATS Nelson Vadori, Rahul Savani
2023	—	`conf`	Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement Learning Perspective. ICAIF Nelson Vadori
2023	A*	`conf`	Learning to Optimize Differentiable Games. ICML Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang
2023	J	`jnl`	Ordinal Potential-based Player Rating. CoRR Nelson Vadori, Rahul Savani
2022	J	`jnl`	Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement Learning Perspective. CoRR Nelson Vadori
2022	A*	`conf`	Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. ICML Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
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
2021	J	`jnl`	Causal Policy Gradients. CoRR Thomas Spooner, Nelson Vadori, Sumitra Ganesh
2021	J	`jnl`	Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. CoRR Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
2021	A*	`conf`	Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs. NeurIPS Thomas Spooner, Nelson Vadori, Sumitra Ganesh
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
2020	A*	`conf`	Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. NeurIPS Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020	J	`jnl`	Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. CoRR Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020	J	`jnl`	Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty. CoRR Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2020	—	`conf`	Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty. ICAIF Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
2019	J	`jnl`	Reinforcement Learning for Market Making in a Multi-agent Dealer Market. CoRR Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso
2017	J	`jnl`	A Semi-Markovian Modeling of Limit Order Markets. SIAM J. Financial Math. Anatoliy Swishchuk, Nelson Vadori