Sandhya Saisubramanian

According to our database1, Sandhya Saisubramanian authored at least 23 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Explanation-Guided Reward Alignment.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Planning and Learning for Reliable Autonomy in the Open World.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

REVEALE: Reward Verification and Learning Using Explanations.
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.
J. Artif. Intell. Res., 2022

Metareasoning for Safe Decision Making in Autonomous Systems.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems.
AI Mag., 2021

Understanding User Attitudes Towards Negative Side Effects of AI Systems.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Mitigating Negative Side Effects via Environment Shaping.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Learning to Generate Fair Clusters from Demonstrations.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
A Multi-Objective Approach to Mitigate Negative Side Effects.
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.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Balancing the Tradeoff Between Clustering Value and Interpretability.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Lexicographically Ordered Multi-Objective Clustering.
CoRR, 2019

Satisfying Social Preferences in Ridesharing Services.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Adaptive Outcome Selection for Planning with Reduced Models.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Planning in Stochastic Environments with Goal Uncertainty.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Minimizing the Negative Side Effects of Planning with Reduced Models.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Planning Using a Portfolio of Reduced Models.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2015
Risk Based Optimization for Improving Emergency Medical Systems.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014


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