Jayakumar Subramanian
Orcid: 0000-0003-4621-2677
According to our database1,
Jayakumar Subramanian
authored at least 20 papers
between 2017 and 2024.
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Bibliography
2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Dyn. Games Appl., March, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems.
J. Mach. Learn. Res., 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks.
CoRR, 2021
DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions.
Proceedings of the Winter Simulation Conference, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
IEEE Trans. Autom. Control., 2020
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare.
Proceedings of the Machine Learning for Health Workshop, 2020
2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Stochastic approximation based methods for computing the optimal thresholds in remote-state estimation with packet drops.
Proceedings of the 2017 American Control Conference, 2017