Parameswaran Kamalaruban

According to our database1, Parameswaran Kamalaruban authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Informativeness of Reward Functions in Reinforcement Learning.
CoRR, 2024

Corruption Robust Offline Reinforcement Learning with Human Feedback.
CoRR, 2024

2023
Proximal Curriculum for Reinforcement Learning Agents.
Trans. Mach. Learn. Res., 2023

Learning Personalized Decision Support Policies.
CoRR, 2023

2022
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Learning from Observation with Model Misspecification.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Curriculum Design for Teaching via Demonstrations: Theory and Applications.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explicable Reward Design for Reinforcement Learning Agents.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Optimization for Reinforcement Learning: From a single agent to cooperative agents.
IEEE Signal Process. Mag., 2020

Not All Attributes are Created Equal: dX -Private Mechanisms for Linear Queries.
Proc. Priv. Enhancing Technol., 2020

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch.
CoRR, 2020

Interaction-limited Inverse Reinforcement Learning.
CoRR, 2020

Environment Shaping in Reinforcement Learning using State Abstraction.
CoRR, 2020

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Iterative Classroom Teaching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
d<sub>X</sub>-Private Mechanisms for Linear Queries.
CoRR, 2018

Transitions, Losses, and Re-parameterizations: Elements of Prediction Games.
CoRR, 2018

Minimax Lower Bounds for Cost Sensitive Classification.
CoRR, 2018

2017
Consistent Robust Regression.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Improved Optimistic Mirror Descent for Sparsity and Curvature.
CoRR, 2016

Efficient and Consistent Robust Time Series Analysis.
CoRR, 2016

2015
Exp-Concavity of Proper Composite Losses.
Proceedings of The 28th Conference on Learning Theory, 2015


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