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Sandhya Saisubramanian
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Balancing the Tradeoff Between Clustering Value and Interpretability
S Saisubramanian, S Galhotra, S Zilberstein
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2020
622020
A Multi-Objective Approach to Mitigate Negative Side Effects
S Saisubramanian, E Kamar, S Zilberstein
Proceedings of the International Joint Conference on Artificial Intelligence …, 2020
492020
STREETS: Game-theoretic traffic patrolling with exploration and exploitation
M Brown, S Saisubramanian, P Varakantham, M Tambe
Proceedings of the AAAI Conference on Artificial Intelligence 28 (2), 2966-2971, 2014
452014
Risk based optimization for improving emergency medical systems
S Saisubramanian, P Varakantham, HC Lau
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
362015
Avoiding negative side effects due to incomplete knowledge of AI systems
S Saisubramanian, S Zilberstein, E Kamar
AI Magazine 2022 Winter Edition, 2022
352022
Understanding user attitudes towards negative side effects of AI systems
S Saisubramanian, SC Roberts, S Zilberstein
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021
202021
Avoiding negative side effects of autonomous systems in the open world
S Saisubramanian, E Kamar, S Zilberstein
Journal of Artificial Intelligence Research 74, 143-177, 2022
172022
Incorporating agent technology for enhancing the effectiveness of E-learning system
N Sivakumar, K Vivekanandan, B Arthi, S Sandhya, V Katta
IJCSI International Journal of Computer Science Issues 8 (3), 2011
152011
Learning to Generate Fair Clusters from Demonstrations
S Galhotra, S Saisubramanian, S Zilberstein
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021
142021
Mitigating Negative Side Effects via Environment Shaping
S Saisubramanian, S Zilberstein
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
122021
Optimizing Electric Vehicle Charging Through Determinization
S Saisubramanian, S Zilberstein, P Shenoy
Scheduling and Planning Applications Workshop (SPARK), ICAPS, 2017
122017
Metareasoning for safe decision making in autonomous systems
J Svegliato, C Basich, S Saisubramanian, S Zilberstein
IEEE International Conference on Robotics and Automation (ICRA), 2022
112022
Satisfying Social Preferences in Ridesharing Services
S Saisubramanian, C Basich, S Zilberstein, CV Goldman
IEEE Intelligent Transportation Systems Conference (ITSC), 2019
102019
Planning in Stochastic Environments with Goal Uncertainty
S Saisubramanian, K Wray, L Pineda, S Zilberstein
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
102019
Adaptive Outcome Selection for Planning with Reduced Models
S Saisubramanian, S Zilberstein
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
92019
Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach
S Saisubramanian, E Kamar, S Zilberstein
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020
62020
Explanation-Guided Reward Alignment
S Mahmud, S Saisubramanian, S Zilberstein
Proceedings of the 32nd International Joint Conference on Artificial …, 2023
52023
Planning and Learning for Non-Markovian Negative Side Effects Using Finite State Controllers
A Srivastava, S Saisubramanian, P Paruchuri, A Kumar, S Zilberstein
Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023
52023
Using Metareasoning to Maintain and Restore Safety for Reliably Autonomy
J Svegliato, C Basich, S Saisubramanian, S Zilberstein
IJCAI Workshop on Robust and Reliable Autonomy in the Wild (R2AW), 2021
52021
Planning Using a Portfolio of Reduced Models
S Saisubramanian, S Zilberstein, P Shenoy
International Conference on Autonomous Agents and Multi Agents Systems, 2057, 2018
52018
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Artiklar 1–20