| Policy mirror ascent for efficient and independent learning in mean field games B Yardim, S Cayci, M Geist, N He International Conference on Machine Learning, 39722-39754, 2023 | 24 | 2023 |
| Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions A Terpin, N Lanzetti, B Yardim, F Dorfler, G Ramponi Advances in Neural Information Processing Systems 35, 19786-19797, 2022 | 9 | 2022 |
| On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation J Huang, B Yardim, N He International Conference on Artificial Intelligence and Statistics, 289-297, 2024 | 8 | 2024 |
| Can Who-Edits-What Predict Edit Survival? AB Yardim, V Kristof, L Maystre, M Grossglauser Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 8 | 2018 |
| When is Mean-Field Reinforcement Learning Tractable and Relevant? B Yardim, A Goldman, N He arXiv preprint arXiv:2402.05757, 2024 | 4 | 2024 |
| Stateless Mean-Field Games: A Framework for Independent Learning with Large Populations B Yardim, S Cayci, N He Sixteenth European Workshop on Reinforcement Learning, 2023 | 3 | 2023 |
| Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning B Yardim, N He ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and …, 0 | | |
