| Contextualize Me--The Case for Context in Reinforcement Learning C Benjamins, T Eimer, F Schubert, A Mohan, S Döhler, A Biedenkapp, ... arXiv preprint arXiv:2202.04500, 2022 | 71 | 2022 |
| Automl in the age of large language models: Current challenges, future opportunities and risks A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ... arXiv preprint arXiv:2306.08107, 2023 | 68 | 2023 |
| Structure in deep reinforcement learning: A survey and open problems A Mohan, A Zhang, M Lindauer Journal of Artificial Intelligence Research 79, 1167-1236, 2024 | 46 | 2024 |
| Carl: A benchmark for contextual and adaptive reinforcement learning C Benjamins, T Eimer, F Schubert, A Biedenkapp, B Rosenhahn, F Hutter, ... arXiv preprint arXiv:2110.02102, 2021 | 32 | 2021 |
| Autorl hyperparameter landscapes A Mohan, C Benjamins, K Wienecke, A Dockhorn, M Lindauer arXiv preprint arXiv:2304.02396, 2023 | 18 | 2023 |
| Masif: Meta-learned algorithm selection using implicit fidelity information T Ruhkopf, A Mohan, D Deng, A Tornede, F Hutter, M Lindauer Transactions on Machine Learning Research, 2023 | 17 | 2023 |
| Learning activation functions for sparse neural networks M Loni, A Mohan, M Asadi, M Lindauer International Conference on Automated Machine Learning, 16/1-19, 2023 | 13 | 2023 |
| Instance selection for dynamic algorithm configuration with reinforcement learning: Improving generalization C Benjamins, G Cenikj, A Nikolikj, A Mohan, T Eftimov, M Lindauer Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | 6 | 2024 |
| Carolin Benjamins, Konrad Wienecke, Alexander Dockhorn, and Marius Lindauer. Autorl hyperparameter landscapes A Mohan International Conference on Automated Machine Learning, 2023 | 6 | 2023 |
| Towards meta-learned algorithm selection using implicit fidelity information A Mohan, T Ruhkopf, M Lindauer arXiv preprint arXiv:2206.03130, 2022 | 4 | 2022 |
| ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning J Becktepe, J Dierkes, C Benjamins, A Mohan, D Salinas, R Rajan, ... arXiv preprint arXiv:2409.18827, 2024 | 3* | 2024 |
| Towards Enhancing Representations in Reinforcement Learning using Relational Structure A Mohan, M Lindauer Seventeenth European Workshop on Reinforcement Learning, 2024 | 1 | 2024 |
| Pulmonary Embolism Detection A Mohan, OC Gosha | 1 | 2020 |
| Moments Matter: Stabilizing Policy Optimization using Return Distributions D Jabs, A Mohan, M Lindauer arXiv preprint arXiv:2601.01803, 2026 | | 2026 |
| Mighty: A Comprehensive Tool for studying Generalization, Meta-RL and AutoRL A Mohan, T Eimer, C Benjamins, M Lindauer, A Biedenkapp Eighteenth European Workshop on Reinforcement Learning, 2025 | | 2025 |
| Uncurse RL J Suarez, S Tao, J Ackermann, KW Choe, N Hansen, S Karten, V Moens, ... | | 2024 |
| A Patterns Framework for Incorporating Structure in Deep Reinforcement Learning A Mohan, A Zhang, M Lindauer Sixteenth European Workshop on Reinforcement Learning, 2023 | | 2023 |
| RL Hyperparameter Landscapes A Mohan, C Benjamins, K Wienecke, A Dockhorn, M Lindauer | | 2023 |
| Understanding AutoRL Hyperparameter Landscapes A Mohan, C Benjamins, K Wienecke, A Dockhorn, M Lindauer | | 2023 |
| Contextualize Me--The Case for Context in Reinforcement Learning C Benjamins, T Eimer, F Schubert, A Mohan, S Döhler, A Biedenkapp, ... arXiv preprint arXiv:2202.04500, 2022 | | 2022 |
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchVerified email at ai.uni-hannover.de
