Publications
- 2025
- E-pub ahead of print
Mighty: A Comprehensive Tool for studying Generalization, Meta-RL and AutoRL
Mohan, A., Eimer, T., Benjamins, C., Lindauer, M. & Biedenkapp, A., Sept 2025, (E-pub ahead of print) 18th European Workshop on Reinforcement Learning (EWRL).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Accepted/In press
Moments Matter: Stabilizing Policy Optimization using Return Distributions
Jabs, D., Mohan, A. & Lindauer, M., 15 Feb 2025, (Accepted/In press) 2025 Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025).Research output: Chapter in book/report/conference proceeding › Conference abstract › Research › peer review
- 2024
- Accepted/In press
Towards Enhancing Predictive Representations using Relational Structure in Reinforcement Learning
Mohan, A. & Lindauer, M., 30 Sept 2024, (Accepted/In press) The 17th European Workshop on Reinforcement Learning (EWRL 2024).Research output: Chapter in book/report/conference proceeding › Conference abstract › Research › peer review
- Published
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization
Benjamins, C., Cenikj, G., Nikolikj, A., Mohan, A., Eftimov, T. & Lindauer, M., 1 Aug 2024, Genetic and Evolutionary Computation Conference (GECCO). p. 563 - 566Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Structure in Deep Reinforcement Learning: A Survey and Open Problems
Mohan, A., Zhang, A. & Lindauer, M., Apr 2024, In: Journal of Artificial Intelligence Research. 79, p. 1167-1236 70 p.Research output: Contribution to journal › Article › Research › peer review
- E-pub ahead of print
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Tornede, A., Deng, D., Eimer, T., Giovanelli, J., Mohan, A., Ruhkopf, T., Segel, S., Theodorakopoulos, D., Tornede, T., Wachsmuth, H. & Lindauer, M., 9 Feb 2024, (E-pub ahead of print) In: Transactions on Machine Learning Research.Research output: Contribution to journal › Article › Research › peer review
- E-pub ahead of print
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
Becktepe, J., Dierkes, J., Benjamins, C., Mohan, A., Salinas, D., Rajan, R., Hutter, F., Hoos, H., Lindauer, M. & Eimer, T., 2024, (E-pub ahead of print) 17th European Workshop on Reinforcement Learning (EWRL 2024).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- 2023
- Published
AutoRL Hyperparameter Landscapes
Mohan, A., Benjamins, C., Wienecke, K., Dockhorn, A. & Lindauer, M., 12 Nov 2023, Conference proceeding: Second Internatinal Conference on Automated Machine Learning. 27 p. (Proceedings of Machine Learning Research; vol. 228).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Accepted/In press
A Patterns Framework for Incorporating Structure in Deep Reinforcement Learning
Mohan, A., Zhang, A. & Lindauer, M., 17 Sept 2023, (Accepted/In press) The 16th European Workshop on Reinforcement Learning (EWRL 2023).Research output: Chapter in book/report/conference proceeding › Conference abstract › Research › peer review
- E-pub ahead of print
Extended Abstract: AutoRL Hyperparameter Landscapes
Mohan, A., Benjamins, C., Wienecke, K., Dockhorn, A. & Lindauer, M., 20 Jul 2023, (E-pub ahead of print). 6 p.Research output: Contribution to conference › Abstract › Research › peer review
- E-pub ahead of print
Contextualize Me – The Case for Context in Reinforcement Learning
Benjamins, C., Eimer, T., Schubert, F. G., Mohan, A., Döhler, S., Biedenkapp, A., Rosenhahn, B., Hutter, F. & Lindauer, M., 5 Jun 2023, (E-pub ahead of print) In: Transactions on Machine Learning Research.Research output: Contribution to journal › Article › Research › peer review
- Accepted/In press
Learning Activation Functions for Sparse Neural Networks
Loni, M., Mohan, A., Asadi, M. & Lindauer, M., 16 May 2023, (Accepted/In press) Second International Conference on Automated Machine Learning.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- E-pub ahead of print
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information
Ruhkopf, T., Mohan, A., Deng, D., Tornede, A., Hutter, F. & Lindauer, M., 18 Apr 2023, (E-pub ahead of print) In: Transactions on Machine Learning Research.Research output: Contribution to journal › Article › Research › peer review
- E-pub ahead of print
Extended Abstract: Contextualize Me -- The Case for Context in Reinforcement Learning
Benjamins, C., Eimer, T., Schubert, F. G., Mohan, A., Döhler, S., Biedenkapp, A., Rosenhahn, B., Hutter, F. & Lindauer, M., 2023, (E-pub ahead of print) The 16th European Workshop on Reinforcement Learning (EWRL 2023).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- 2022
- Published
Towards Meta-learned Algorithm Selection using Implicit Fidelity Information
Mohan, A., Ruhkopf, T. & Lindauer, M., 2022, ICML Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review