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ORCIDSumitra Ganesh
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2020 – today
- 2024
[j2]Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh:
Online MCMC Thinning with Kernelized Stein Discrepancy. SIAM J. Math. Data Sci. 6(1): 51-75 (2024)- [c16]Benjamin Patrick Evans, Sumitra Ganesh:
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-agent Reinforcement Learning. AAMAS 2024: 534-543 - [c15]Leo Ardon
, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh:
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products. ICAIF 2024: 761-769 - [c14]Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh:
Efficient Inverse Multiagent Learning. ICLR 2024 - [c13]Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh:
Information-Directed Pessimism for Offline Reinforcement Learning. ICML 2024 - [i20]Benjamin Patrick Evans, Sumitra Ganesh:
Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning. CoRR abs/2402.00787 (2024) - [i19]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 abs/2402.17932 (2024) - [i18]Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh:
Partially Observable Contextual Bandits with Linear Payoffs. CoRR abs/2409.11521 (2024) - [i17]Natraj Raman, Sumitra Ganesh, Manuela Veloso:
Scalable Representation Learning for Multimodal Tabular Transactions. CoRR abs/2410.07851 (2024) - [i16]Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh:
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment. CoRR abs/2410.08193 (2024) - [i15]Leo Ardon, Benjamin Patrick Evans, Deepeka Garg, Annapoorani Lakshmi Narayanan, Makada Henry-Nickie, Sumitra Ganesh:
Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products. CoRR abs/2411.00563 (2024) - 2023
- [c12]Leo Ardon, Jared Vann, Deepeka Garg, Thomas Spooner, Sumitra Ganesh:
Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems. AAMAS 2023: 2742-2744 - [c11]Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. ICAIF 2023: 673-680 - [c10]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 - [i14]Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. CoRR abs/2301.03758 (2023) - [i13]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 abs/2310.14403 (2023) - [i12]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 abs/2311.10927 (2023) - 2022
- [c9]Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh:
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. ICML 2022: 21901-21926 - [i11]Mengda Xu, Sumitra Ganesh, Pranay Pasula:
Mixture of basis for interpretable continual learning with distribution shifts. CoRR abs/2201.01853 (2022) - [i10]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 abs/2206.10158 (2022) - [i9]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 abs/2210.06012 (2022) - [i8]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 abs/2210.07184 (2022) - [i7]Leo Ardon, Alberto Pozanco, Daniel Borrajo, Sumitra Ganesh:
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning. CoRR abs/2211.15589 (2022) - 2021
- [c8]Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh:
Towards a fully rl-based market simulator. ICAIF 2021: 7:1-7:9 - [c7]Thomas Spooner, Nelson Vadori, Sumitra Ganesh:
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs. NeurIPS 2021: 5481-5493 - [i6]Thomas Spooner, Nelson Vadori, Sumitra Ganesh:
Causal Policy Gradients. CoRR abs/2102.10362 (2021) - [i5]Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh:
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. CoRR abs/2106.02615 (2021) - [i4]Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh:
Towards a fully RL-based Market Simulator. CoRR abs/2110.06829 (2021) - 2020
- [c6]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty. ICAIF 2020: 28:1-28:9 - [c5]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. NeurIPS 2020 - [i3]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty. CoRR abs/2006.12686 (2020) - [i2]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. CoRR abs/2006.13085 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1911.05892 (2019)
2000 – 2009
- 2009
- [j1]Sumitra Ganesh, Ruzena Bajcsy:
Learning and Recognition of Human Actions Using Optimal Control Primitives. Int. J. Humanoid Robotics 6(3): 459-479 (2009) - 2008
- [c4]Sumitra Ganesh, Ruzena Bajcsy:
Representation and Recognition of Human Actions - a New Approach based on an Optimal Control Motor Model. VISAPP (2) 2008: 99-104 - [c3]Sumitra Ganesh, Ruzena Bajcsy:
Recognition of Human Actions using an Optimal Control Based Motor Model. WACV 2008: 1-6 - 2007
- [c2]Sumitra Ganesh, Aaron D. Ames, Ruzena Bajcsy:
Composition of Dynamical Systems for Estimation of Human Body Dynamics. HSCC 2007: 702-705 - 2002
- [c1]Akshay Mishra, Sumitra Ganesh, Uday B. Desai:
Blind space-time multiuser detector. ISCAS (1) 2002: 697-700
Coauthor Index
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last updated on 2024-12-12 21:58 CET by the dblp team
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