Sumitra Ganesh

According to our database, Sumitra Ganesh authored at least 25 papers between 2002 and 2024.

Collaborative distances:

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

2024

Online MCMC Thinning with Kernelized Stein Discrepancy.

Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh

SIAM J. Math. Data Sci., March, 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

Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning.

Benjamin Patrick Evans, Sumitra Ganesh

CoRR, 2024

2023

Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach.

Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh

CoRR, 2023

O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models.

Yuchen Xiao, Yanchao Sun, Mengda Xu, Udari Madhushani, Jared Vann, Deepeka Garg, Sumitra Ganesh

CoRR, 2023

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.

Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sequential Fair Resource Allocation under a Markov Decision Process Framework.

Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh

Proceedings of the 4th ACM International Conference on AI in Finance, 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

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

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems.

Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

CoRR, 2022

Mixture of basis for interpretable continual learning with distribution shifts.

Mengda Xu, Sumitra Ganesh, Pranay Pasula

CoRR, 2022

Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures.

Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh

Proceedings of the International Conference on Machine Learning, 2022

2021

Causal Policy Gradients.

Thomas Spooner, Nelson Vadori, Sumitra Ganesh

CoRR, 2021

Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs.

Thomas Spooner, Nelson Vadori, Sumitra Ganesh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

2020

Calibration of Shared Equilibria in General Sum Partially Observable Markov Games.

Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty.

Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019

Reinforcement Learning for Market Making in a Multi-agent Dealer Market.

Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso

CoRR, 2019

2009

Learning and Recognition of Human Actions Using Optimal Control Primitives.

Sumitra Ganesh, Ruzena Bajcsy

Int. J. Humanoid Robotics, 2009

2008

Recognition of Human Actions using an Optimal Control Based Motor Model.

Sumitra Ganesh, Ruzena Bajcsy

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Representation and Recognition of Human Actions - a New Approach based on an Optimal Control Motor Model.

Sumitra Ganesh, Ruzena Bajcsy

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

2007

Composition of Dynamical Systems for Estimation of Human Body Dynamics.

Sumitra Ganesh, Aaron D. Ames, Ruzena Bajcsy

Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007

2002

Blind space-time multiuser detector.

Akshay Mishra, Sumitra Ganesh, Uday B. Desai

Proceedings of the 2002 International Symposium on Circuits and Systems, 2002