STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation. - Matthew Brown 002; Sandhya Saisubramanian; Pradeep Varakantham; Milind Tambe (AAAI, 2014)

Risk Based Optimization for Improving Emergency Medical Systems. - Sandhya Saisubramanian; Pradeep Varakantham; Hoong Chuin Lau (AAAI, 2015)

Planning Using a Portfolio of Reduced Models. - Sandhya Saisubramanian; Shlomo Zilberstein; Prashant J. Shenoy (AAMAS, 2018)

Adaptive Modeling for Risk-Aware Decision Making. - Sandhya Saisubramanian (AAAI, 2019)

Minimizing the Negative Side Effects of Planning with Reduced Models. - Sandhya Saisubramanian; Shlomo Zilberstein (SafeAI@AAAI, 2019)

Planning in Stochastic Environments with Goal Uncertainty. - Sandhya Saisubramanian; Kyle Hollins Wray; Luis Enrique Pineda; Shlomo Zilberstein (IROS, 2019)

Adaptive Outcome Selection for Planning with Reduced Models. - Sandhya Saisubramanian; Shlomo Zilberstein (IROS, 2019)

Satisfying Social Preferences in Ridesharing Services. - Sandhya Saisubramanian; Connor Basich; Shlomo Zilberstein; Claudia V. Goldman (ITSC, 2019)

Lexicographically Ordered Multi-Objective Clustering. - Sainyam Galhotra; Sandhya Saisubramanian; Shlomo Zilberstein (CoRR, 2019)

Balancing the Tradeoff Between Clustering Value and Interpretability. - Sandhya Saisubramanian; Sainyam Galhotra; Shlomo Zilberstein (AIES, 2020)

Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach. - Sandhya Saisubramanian; Ece Kamar; Shlomo Zilberstein (AAMAS, 2020)

A Multi-Objective Approach to Mitigate Negative Side Effects. - Sandhya Saisubramanian; Ece Kamar; Shlomo Zilberstein (IJCAI, 2020)

Learning to Generate Fair Clusters from Demonstrations. - Sainyam Galhotra; Sandhya Saisubramanian; Shlomo Zilberstein (AIES, 2021)

Mitigating Negative Side Effects via Environment Shaping. - Sandhya Saisubramanian; Shlomo Zilberstein (AAMAS, 2021)

Understanding User Attitudes Towards Negative Side Effects of AI Systems. - Sandhya Saisubramanian; Shannon C. Roberts; Shlomo Zilberstein (CHI Extended Abstracts, 2021)

Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems. - Sandhya Saisubramanian; Shlomo Zilberstein; Ece Kamar (AI Mag., 2021)

Metareasoning for Safe Decision Making in Autonomous Systems. - Justin Svegliato; Connor Basich; Sandhya Saisubramanian; Shlomo Zilberstein (ICRA, 2022)

Avoiding Negative Side Effects of Autonomous Systems in the Open World. - Sandhya Saisubramanian; Ece Kamar; Shlomo Zilberstein (J. Artif. Intell. Res., 2022)

REVEALE: Reward Verification and Learning Using Explanations. - Saaduddin Mahmud; Sandhya Saisubramanian; Shlomo Zilberstein (SafeAI@AAAI, 2023)

Planning and Learning for Reliable Autonomy in the Open World. - Sandhya Saisubramanian (AAAI, 2023)

Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers. - Aishwarya Srivastava; Sandhya Saisubramanian; Praveen Paruchuri; Akshat Kumar; Shlomo Zilberstein (AAAI, 2023)

Explanation-Guided Reward Alignment. - Saaduddin Mahmud; Sandhya Saisubramanian; Shlomo Zilberstein (IJCAI, 2023)

Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. - Moumita Choudhury; Sandhya Saisubramanian; Hao Zhang; Shlomo Zilberstein (FLAIRS, 2024)

Mitigating Negative Side Effects in Multi-Agent Systems Using Blame Assignment. - Pulkit Rustagi; Sandhya Saisubramanian (CoRR, 2024)

Adaptive Querying for Reward Learning from Human Feedback. - Yashwanthi Anand; Sandhya Saisubramanian (CoRR, 2024)

Multi-Objective Planning with Contextual Lexicographic Reward Preferences. - Pulkit Rustagi; Yashwanthi Anand; Sandhya Saisubramanian (AAMAS, 2025)

WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies. - William Solow; Sandhya Saisubramanian; Alan Fern (CoRR, 2025)

Learning with Expert Abstractions for Efficient Multi-Task Continuous Control. - Jeff Jewett; Sandhya Saisubramanian (CoRR, 2025)

Uncovering Systemic and Environment Errors in Autonomous Systems Using Differential Testing. - Rahil P. Mehta; Yashwanthi Anand; Manish Motwani; Sandhya Saisubramanian (CoRR, 2025)

Calibrating Biophysical Models for Grape Phenology Prediction via Multi-Task Learning. - William Solow; Sandhya Saisubramanian (CoRR, 2025)