Minimax-Bayes Reinforcement Learning TK Buening, C Dimitrakakis, H Eriksson, D Grover, E Jorge International Conference on Artificial Intelligence and Statistics (AISTATS …, 2023 | 8 | 2023 |
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits TK Buening, A Saha International Conference on Artificial Intelligence and Statistics (AISTATS …, 2023 | 7 | 2023 |
Interactive Inverse Reinforcement Learning for Cooperative Games TK Buening, AM George, C Dimitrakakis International Conference on Machine Learning (ICML 2022), 2393-2413, 2022 | 7 | 2022 |
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation TK Buening, A Saha, C Dimitrakakis, H Xu International Conference on Learning Representations (ICLR 2024), 2023 | 6 | 2023 |
Environment Design for Inverse Reinforcement Learning TK Buening, V Villin, C Dimitrakakis International Conference on Machine Learning (ICML 2024), 2024 | 4 | 2024 |
On Meritocracy in Optimal Set Selection TK Buening, M Segal, D Basu, AM George, C Dimitrakakis EAAMO'22 Equity and Access in Algorithms, Mechanisms, and Optimization, 1-14, 2022 | 4* | 2022 |
Strategic Linear Contextual Bandits TK Buening, A Saha, C Dimitrakakis, H Xu Neural Information Processing Systems (NeurIPS 2024), 2024 | 1 | 2024 |
A Minimax-Bayes Approach to Ad Hoc Teamwork V Villin, C Dimitrakakis, TK Buening Seventeenth European Workshop on Reinforcement Learning, 0 | | |