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Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases


Jul 01, 2022
Atanu R Sinha, Navita Goyal, Sunny Dhamnani, Tanay Asija, Raja K Dubey, M V Kaarthik Raja, Georgios Theocharous


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Smoothed Online Combinatorial Optimization Using Imperfect Predictions


Apr 23, 2022
Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan


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Off-Policy Evaluation in Embedded Spaces


Mar 05, 2022
Jaron J. R. Lee, David Arbour, Georgios Theocharous

* 9 pages, appeared at NeurIPS 2021 Workshop "Causal Inference Challenges in Sequential Decision Making: Bridging Theory and Practice", presented virtually Dec 14th 2021 

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Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning


Dec 30, 2021
Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill

* AAAI2022 

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Edge-Compatible Reinforcement Learning for Recommendations


Dec 10, 2021
James E. Kostas, Philip S. Thomas, Georgios Theocharous


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Multiscale Manifold Warping


Sep 19, 2021
Sridhar Mahadevan, Anup Rao, Georgios Theocharous, Jennifer Healey

* 18 pages 

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Towards Safe Policy Improvement for Non-Stationary MDPs


Oct 23, 2020
Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas

* Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020) 

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Reinforcement Learning for Strategic Recommendations


Sep 15, 2020
Georgios Theocharous, Yash Chandak, Philip S. Thomas, Frits de Nijs


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Optimizing for the Future in Non-Stationary MDPs


Jun 02, 2020
Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas

* Thirty-seventh International Conference on Machine Learning (ICML 2020) 

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