Sandhya Saisubramanian

According to our database, Sandhya Saisubramanian authored at least 30 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Calibrating Biophysical Models for Grape Phenology Prediction via Multi-Task Learning.

William Solow, Sandhya Saisubramanian

CoRR, August, 2025

Uncovering Systemic and Environment Errors in Autonomous Systems Using Differential Testing.

Rahil P. Mehta, Yashwanthi Anand, Manish Motwani, Sandhya Saisubramanian

CoRR, July, 2025

Learning with Expert Abstractions for Efficient Multi-Task Continuous Control.

Jeff Jewett, Sandhya Saisubramanian

CoRR, March, 2025

WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies.

William Solow, Sandhya Saisubramanian, Alan Fern

CoRR, February, 2025

Multi-Objective Planning with Contextual Lexicographic Reward Preferences.

Pulkit Rustagi, Yashwanthi Anand, Sandhya Saisubramanian

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Adaptive Querying for Reward Learning from Human Feedback.

Yashwanthi Anand, Sandhya Saisubramanian

CoRR, 2024

Mitigating Negative Side Effects in Multi-Agent Systems Using Blame Assignment.

Pulkit Rustagi, Sandhya Saisubramanian

CoRR, 2024

Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination.

Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023

Explanation-Guided Reward Alignment.

Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers.

Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Planning and Learning for Reliable Autonomy in the Open World.

Sandhya Saisubramanian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

REVEALE: Reward Verification and Learning Using Explanations.

Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Avoiding Negative Side Effects of Autonomous Systems in the Open World.

Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein

J. Artif. Intell. Res., 2022

Metareasoning for Safe Decision Making in Autonomous Systems.

Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems.

Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar

AI Mag., 2021

Understanding User Attitudes Towards Negative Side Effects of AI Systems.

Sandhya Saisubramanian, Shannon C. Roberts, Shlomo Zilberstein

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Mitigating Negative Side Effects via Environment Shaping.

Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Learning to Generate Fair Clusters from Demonstrations.

Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

A Multi-Objective Approach to Mitigate Negative Side Effects.

Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach.

Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Balancing the Tradeoff Between Clustering Value and Interpretability.

Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Lexicographically Ordered Multi-Objective Clustering.

Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein

CoRR, 2019

Satisfying Social Preferences in Ridesharing Services.

Sandhya Saisubramanian, Connor Basich, Shlomo Zilberstein, Claudia V. Goldman

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Adaptive Outcome Selection for Planning with Reduced Models.

Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Planning in Stochastic Environments with Goal Uncertainty.

Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Minimizing the Negative Side Effects of Planning with Reduced Models.

Sandhya Saisubramanian, Shlomo Zilberstein

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

Adaptive Modeling for Risk-Aware Decision Making.

Sandhya Saisubramanian

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Planning Using a Portfolio of Reduced Models.

Sandhya Saisubramanian, Shlomo Zilberstein, Prashant J. Shenoy

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2015

Risk Based Optimization for Improving Emergency Medical Systems.

Sandhya Saisubramanian, Pradeep Varakantham, Hoong Chuin Lau

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation.

Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014