Sinha, Arunesh

31 publications

ICLR 2025 Bootstrapping Language Models with DPO Implicit Rewards Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

ICLR 2025 On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning Roman Belaire, Arunesh Sinha, Pradeep Varakantham

ICLR 2025 Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham

ICMLW 2024 Bootstrapping Language Models with DPO Implicit Rewards Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

AAAI 2024 Handling Long and Richly Constrained Tasks Through Constrained Hierarchical Reinforcement Learning Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham

NeurIPSW 2024 S2L-RM: Short-to-Long Reward Modeling Changyu Chen, Zichen Liu, Haonan Wang, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

IJCAI 2024 Tackling Stackelberg Network Interdiction Against a Boundedly Rational Adversary Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar Singh

AAAI 2023 A Fair Incentive Scheme for Community Health Workers Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai

AAAI 2023 Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks Thanh Hong Nguyen, Arunesh Sinha

AAAI 2023 Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha

IJCAI 2023 Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen

NeurIPS 2023 Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning Changyu Chen, Ramesha Karunasena, Thanh Nguyen, Arunesh Sinha, Pradeep Varakantham

AAAI 2023 Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach Tien Mai, Arunesh Sinha

AAAI 2022 Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models Tien Mai, Arunesh Sinha

AAAI 2022 Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha

NeurIPS 2022 Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees Avinandan Bose, Arunesh Sinha, Tien Mai

AAAI 2020 Bounding Regret in Empirical Games Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh

AAAI 2020 Generating Realistic Stock Market Order Streams Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman

IJCAI 2020 Partial Adversarial Behavior Deception in Security Games Thanh Hong Nguyen, Arunesh Sinha, He He

AAAI 2020 Solving Online Threat Screening Games Using Constrained Action Space Reinforcement Learning Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe

AAAI 2019 Deception in Finitely Repeated Security Games Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman

IJCAI 2018 Stackelberg Security Games: Looking Beyond a Decade of Success Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe

IJCAI 2018 The Price of Usability: Designing Operationalizable Strategies for Security Games Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe

IJCAI 2017 Don't Bury Your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-Security Alerts Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter

AAAI 2016 Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe

AAAI 2016 One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe

IJCAI 2016 Three Strategies to Success: Learning Adversary Models in Security Games Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe

AAAI 2015 Audit Games with Multiple Defender Resources Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha

IJCAI 2015 Incentivizing Peer Grading in MOOCS: An Audit Game Approach Alejandro Uriel Carbonara, Anupam Datta, Arunesh Sinha, Yair Zick

IJCAI 2015 Security Games with Information Leakage: Modeling and Computation Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe

IJCAI 2013 Audit Games Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha