Parameswaran Kamalaruban

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Learning Agents

Cooperative Agents

Reinforcement Learning

Robust Regression

Top Venues

Publications

Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. CoRR (2024)
Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic
Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go. CoRR (2024)
Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
Corruption Robust Offline Reinforcement Learning with Human Feedback. CoRR (2024)
Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. CoRR (2024)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Informativeness of Reward Functions in Reinforcement Learning. AAMAS (2024)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Informativeness of Reward Functions in Reinforcement Learning. CoRR (2024)
Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla
Proximal Curriculum for Reinforcement Learning Agents. Trans. Mach. Learn. Res. 2023 (2023)
Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla
Proximal Curriculum for Reinforcement Learning Agents. CoRR (2023)
Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
Learning Personalized Decision Support Policies. CoRR (2023)
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. NeurIPS (2022)
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
Robust Learning from Observation with Model Misspecification. AAMAS (2022)
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
Robust Learning from Observation with Model Misspecification. CoRR (2022)
Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Curriculum Design for Teaching via Demonstrations: Theory and Applications. NeurIPS (2021)
Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Curriculum Design for Teaching via Demonstrations: Theory and Applications. CoRR (2021)
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. NeurIPS (2021)
Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla
Explicable Reward Design for Reinforcement Learning Agents. NeurIPS (2021)
Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher
Optimization for Reinforcement Learning: From a single agent to cooperative agents. IEEE Signal Process. Mag. 37 (3) (2020)
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Volkan Cevher
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. CoRR (2020)
Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar
Not All Attributes are Created Equal: dX -Private Mechanisms for Linear Queries. Proc. Priv. Enhancing Technol. 2020 (1) (2020)
Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR (2020)
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
Environment Shaping in Reinforcement Learning using State Abstraction. CoRR (2020)
Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS (2020)
Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher
Interaction-limited Inverse Reinforcement Learning. CoRR (2020)
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
Interactive Teaching Algorithms for Inverse Reinforcement Learning. CoRR (2019)
Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
Interactive Teaching Algorithms for Inverse Reinforcement Learning. IJCAI (2019)
Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. CoRR (2019)
Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
Iterative Classroom Teaching. AAAI (2019)
Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang
Exp-Concavity of Proper Composite Losses. CoRR (2018)
Parameswaran Kamalaruban, Robert C. Williamson
Minimax Lower Bounds for Cost Sensitive Classification. CoRR (2018)
Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
Iterative Classroom Teaching. CoRR (2018)
Parameswaran Kamalaruban
Transitions, Losses, and Re-parameterizations: Elements of Prediction Games. CoRR (2018)
Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar
-Private Mechanisms for Linear Queries. CoRR (2018)
Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar
Consistent Robust Regression. NIPS (2017)
Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar
Efficient and Consistent Robust Time Series Analysis. CoRR (2016)
Parameswaran Kamalaruban
Improved Optimistic Mirror Descent for Sparsity and Curvature. CoRR (2016)
Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang
Exp-Concavity of Proper Composite Losses. COLT (2015)