Kamalaruban, Parameswaran

18 publications

AISTATS 2025 Corruption Robust Offline Reinforcement Learning with Human Feedback Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

NeurIPS 2025 Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2025 Inference-Time Personalized Alignment with a Few User Preference Queries Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar, Alkis Gotovos, Adish Singla

AAAI 2025 Learning Personalized Decision Support Policies Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar

AISTATS 2025 Policy Teaching via Data Poisoning in Learning from Human Preferences Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

NeurIPS 2024 Adversarially Robust Decision Transformer Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic

IJCAI 2024 Proximal Curriculum with Task Correlations for Deep Reinforcement Learning Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla

ICML 2024 Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla

TMLR 2023 Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2022 Exploration-Guided Reward Shaping for Reinforcement Learning Under Sparse Rewards Rati Devidze, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2021 Curriculum Design for Teaching via Demonstrations: Theory and Applications Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2021 Explicable Reward Design for Reinforcement Learning Agents Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2021 Robust Inverse Reinforcement Learning Under Transition Dynamics Mismatch Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher

NeurIPS 2020 Robust Reinforcement Learning via Adversarial Training with Langevin Dynamics Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher

IJCAI 2019 Interactive Teaching Algorithms for Inverse Reinforcement Learning Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

AAAI 2019 Iterative Classroom Teaching Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher

NeurIPS 2017 Consistent Robust Regression Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar

COLT 2015 Exp-Concavity of Proper Composite Losses Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang