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 | 55 | 2020 |
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 | 46 | 2020 |
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 | 44 | 2014 |
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 | 35 | 2015 |
Avoiding negative side effects due to incomplete knowledge of AI systems S Saisubramanian, S Zilberstein, E Kamar AI Magazine 2022 Winter Edition, 2022 | 30 | 2022 |
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 | 15 | 2021 |
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 | 15 | 2011 |
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 | 13 | 2022 |
Learning to Generate Fair Clusters from Demonstrations S Galhotra, S Saisubramanian, S Zilberstein AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021 | 12 | 2021 |
Optimizing Electric Vehicle Charging Through Determinization S Saisubramanian, S Zilberstein, P Shenoy Scheduling and Planning Applications Workshop (SPARK), ICAPS, 2017 | 12 | 2017 |
Mitigating Negative Side Effects via Environment Shaping S Saisubramanian, S Zilberstein Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 11 | 2021 |
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 | 10 | 2022 |
Satisfying Social Preferences in Ridesharing Services S Saisubramanian, C Basich, S Zilberstein, CV Goldman IEEE Intelligent Transportation Systems Conference (ITSC), 2019 | 10 | 2019 |
Adaptive Outcome Selection for Planning with Reduced Models S Saisubramanian, S Zilberstein IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 9 | 2019 |
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 | 7 | 2019 |
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 | 6 | 2020 |
Planning Using a Portfolio of Reduced Models S Saisubramanian, S Zilberstein, P Shenoy International Conference on Autonomous Agents and Multi Agents Systems, 2057, 2018 | 5 | 2018 |
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 | 4 | 2023 |
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 | 4 | 2021 |
Explanation-Guided Reward Alignment S Mahmud, S Saisubramanian, S Zilberstein Proceedings of the 32nd International Joint Conference on Artificial …, 2023 | 3 | 2023 |