Sumitra Ganesh

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 27

Top Topics

Markov Decision Process

Resource Allocation

Reinforcement Learning

Partially Observable

Top Venues

Publications

Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh
Efficient Inverse Multiagent Learning. ICLR (2024)
Benjamin Patrick Evans, Sumitra Ganesh
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-agent Reinforcement Learning. AAMAS (2024)
Benjamin Patrick Evans, Sumitra Ganesh
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning. CoRR (2024)
Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh
Online MCMC Thinning with Kernelized Stein Discrepancy. SIAM J. Math. Data Sci. 6 (1) (2024)
Deepeka Garg, Benjamin Patrick Evans, Leo Ardon, Annapoorani Lakshmi Narayanan, Jared Vann, Udari Madhushani, Makada Henry-Nickie, Sumitra Ganesh
A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis. CoRR (2024)
Yuchen Xiao, Yanchao Sun, Mengda Xu, Udari Madhushani, Jared Vann, Deepeka Garg, Sumitra Ganesh
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models. CoRR (2023)
Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
Sequential Fair Resource Allocation under a Markov Decision Process Framework. CoRR (2023)
Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach. CoRR (2023)
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. ICLR (2023)
Leo Ardon, Jared Vann, Deepeka Garg, Thomas Spooner, Sumitra Ganesh
Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems. AAMAS (2023)
Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
Sequential Fair Resource Allocation under a Markov Decision Process Framework. ICAIF (2023)
Leo Ardon, Alberto Pozanco, Daniel Borrajo, Sumitra Ganesh
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning. CoRR (2022)
Mengda Xu, Sumitra Ganesh, Pranay Pasula
Mixture of basis for interpretable continual learning with distribution shifts. CoRR (2022)
Leo Ardon, Jared Vann, Deepeka Garg, Tom Spooner, Sumitra Ganesh
Phantom - An RL-driven framework for agent-based modeling of complex economic systems and markets. CoRR (2022)
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. CoRR (2022)
Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR (2022)
Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. ICML (2022)
Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh
Towards a fully RL-based Market Simulator. CoRR (2021)
Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. CoRR (2021)
Thomas Spooner, Nelson Vadori, Sumitra Ganesh
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs. NeurIPS (2021)
Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh
Towards a fully rl-based market simulator. ICAIF (2021)
Thomas Spooner, Nelson Vadori, Sumitra Ganesh
Causal Policy Gradients. CoRR (2021)
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty. CoRR (2020)
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty. ICAIF (2020)
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. NeurIPS (2020)
Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. CoRR (2020)
Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso
Reinforcement Learning for Market Making in a Multi-agent Dealer Market. CoRR (2019)
Sumitra Ganesh, Ruzena Bajcsy
Learning and Recognition of Human Actions Using Optimal Control Primitives. Int. J. Humanoid Robotics 6 (3) (2009)
Sumitra Ganesh, Ruzena Bajcsy
Recognition of Human Actions using an Optimal Control Based Motor Model. WACV (2008)
Sumitra Ganesh, Ruzena Bajcsy
Representation and Recognition of Human Actions - a New Approach based on an Optimal Control Motor Model. VISAPP (2) (2008)
Sumitra Ganesh, Aaron D. Ames, Ruzena Bajcsy
Composition of Dynamical Systems for Estimation of Human Body Dynamics. HSCC (2007)
Akshay Mishra, Sumitra Ganesh, Uday B. Desai
Blind space-time multiuser detector. ISCAS (1) (2002)