Sloan Sports Analytics Conference, 2018.
arXiv link.
Value Prediction Networks
by Junhyuk Oh, Satinder Singh, Honglak Lee.
In Neural Information Processing Systems (NIPS), 2017.
arXiv link.
Repeated Inverse Reinforcement Learning
by Kareem Amin, Nan Jiang, and Satinder Singh.
In Neural Information Processing Systems (NIPS), 2017.
arXiv link.
A Big Step for AI
by Satinder Singh.
In Nature: News & Views, 2017.
pdf.
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
by Junhyuk Oh, Satinder Singh, Honglak Lee, and Pushmeet Kohli.
In International Conference on Machine Learning (ICML), 2017.
pdf.
A Stackelberg Game Model for Botnet Data Exfiltration
by Thang Nguyen, Michael Wellman, and Satinder Singh.
In Proceedings of the 8th Conference on Decision and Game Theory for Security (GameSec), 2017.
pdf.
Learning to Query, Reason, and Answer Questions on Ambiguous Texts.
by Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Jospeh Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerald Tesauro, and Satinder Singh.
In 5th International Conference on Learning Representations (ICLR), 2017.
pdf.
Approximately-Optimal Queries for Planning in Reward-Uncertain Markov Decision Processes.
by Shun Zhang, Edmund Durfee, and Satinder Singh.
In 27th International Conference on Automated Planning and Scheduling (ICAPS), 2017.
pdf.
Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making.
by Qi Zhang, Satinder Singh, and Edmund Durfee.
In 27th International Conference on Automated Planning and Scheduling (ICAPS), 2017.
pdf.
Predicting Counselor Behaviors in Motivational Interviewing Encounters.
by Veronica Perez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh, Lawrence An, Kathy J. Goggin, and Delwyn Catley.
In Proceedings of the European Association of Computational Linguistics, (EACL) 2017.
pdf.
All My Papers in Reverse Chronological Order