Theocharous, Georgios

28 publications

AAAI 2024 Distributional Off-Policy Evaluation for Slate Recommendations Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis

ICLR 2023 Explaining RL Decisions with Trajectories Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian

AAAI 2023 Smoothed Online Combinatorial Optimization Using Imperfect Predictions Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan

AAAI 2022 Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill

NeurIPSW 2022 Trajectory-Based Explainability Framework for Offline RL Shripad Vilasrao Deshmukh, Arpan Dasgupta, Chirag Agarwal, Nan Jiang, Balaji Krishnamurthy, Georgios Theocharous, Jayakumar Subramanian

ICML 2021 High Confidence Generalization for Reinforcement Learning James Kostas, Yash Chandak, Scott M Jordan, Georgios Theocharous, Philip Thomas

AAAI 2020 Lifelong Learning with a Changing Action Set Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas

ICML 2020 Optimizing for the Future in Non-Stationary MDPs Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip Thomas

ICMLW 2020 Optimizing for the Future in Non-Stationary MDPs Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas

AAAI 2020 Reinforcement Learning When All Actions Are Not Always Available Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas

NeurIPS 2020 Towards Safe Policy Improvement for Non-Stationary MDPs Yash Chandak, Scott Jordan, Georgios Theocharous, Martha White, Philip S. Thomas

ICML 2019 Learning Action Representations for Reinforcement Learning Yash Chandak, Georgios Theocharous, James Kostas, Scott Jordan, Philip Thomas

NeurIPS 2018 Scalar Posterior Sampling with Applications Georgios Theocharous, Zheng Wen, Yasin Abbasi Yadkori, Nikos Vlassis

AAAI 2017 Automated Data Cleansing Through Meta-Learning Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh

AAAI 2017 Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill

ECML-PKDD 2016 Graphical Model Sketch Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun

ICML 2015 High Confidence Policy Improvement Philip Thomas, Georgios Theocharous, Mohammad Ghavamzadeh

AAAI 2015 High-Confidence Off-Policy Evaluation Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh

IJCAI 2015 Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh

NeurIPS 2015 Policy Evaluation Using the Ω-Return Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Konidaris

AAAI 2013 Structured Kernel-Based Reinforcement Learning Branislav Kveton, Georgios Theocharous

AAAI 2012 Kernel-Based Reinforcement Learning on Representative States Branislav Kveton, Georgios Theocharous

AAAI 2010 Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization Georgios Theocharous, Sridhar Mahadevan

AAAI 2008 Online Learning with Expert Advice and Finite-Horizon Constraints Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor

AAAI 2007 Adaptive Timeout Policies for Fast Fine-Grained Power Management Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah

AAAI 2007 User Model and Utility Based Power Management Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer

NeurIPS 2003 Approximate Planning in POMDPs with Macro-Actions Georgios Theocharous, Leslie P. Kaelbling

MLJ 1998 Rapid Concept Learning for Mobile Robots Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli