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On Optimizing Interventions in Shared Autonomy


Jan 01, 2022
Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H M Sajjad Hossain, Yash Chandak

* Accepted by AAAI2022 

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SOPE: Spectrum of Off-Policy Estimators


Dec 02, 2021
Christina J. Yuan, Yash Chandak, Stephen Giguere, Philip S. Thomas, Scott Niekum

* Accepted at Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Universal Off-Policy Evaluation


Apr 26, 2021
Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik Learned-Miller, Emma Brunskill, Philip S. Thomas


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High-Confidence Off-Policy (or Counterfactual) Variance Estimation


Jan 25, 2021
Yash Chandak, Shiv Shankar, Philip S. Thomas

* Thirty-fifth AAAI Conference on Artificial Intelligence (AAAI 2021) 

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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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Evaluating the Performance of Reinforcement Learning Algorithms


Jun 30, 2020
Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas

* 30 pages, 9 figures, Thirty-seventh International Conference on Machine Learning (ICML 2020) 

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