| Deep reinforcement learning for swarm systems M Hüttenrauch, A Šošić, G Neumann Journal of Machine Learning Research 20 (54), 1-31, 2019 | 239 | 2019 |
| Guided deep reinforcement learning for swarm systems M Hüttenrauch, A Šošić, G Neumann arXiv preprint arXiv:1709.06011, 2017 | 137 | 2017 |
| Local communication protocols for learning complex swarm behaviors with deep reinforcement learning M Hüttenrauch, A Šošić, G Neumann Swarm Intelligence: 11th International Conference, ANTS 2018, Rome, Italy …, 2018 | 36 | 2018 |
| Deep reinforcement learning for attacking wireless sensor networks J Parras, M Hüttenrauch, S Zazo, G Neumann Sensors 21 (12), 4060, 2021 | 7 | 2021 |
| Learning complex swarm behaviors by exploiting local communication protocols with deep reinforcement learning M Hüttenrauch, A Šošić, G Neumann arXiv preprint arXiv:1709.07224, 2017 | 6 | 2017 |
| Using M-Embeddings to Learn Control Strategies for Robot Swarms GHW Gebhardt, M Hüttenrauch, G Neumann Swarm Intelligence, 2019 | 5 | 2019 |
| Regret-aware black-box optimization with natural gradients, trust-regions and entropy control M Hüttenrauch, G Neumann arXiv preprint arXiv:2206.06090, 2022 | 1 | 2022 |
| Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization P Dahlinger, P Becker, M Hüttenrauch, G Neumann arXiv preprint arXiv:2310.20574, 2023 | | 2023 |
| Coordinate ascent MORE with adaptive entropy control for population-based regret minimization M Hüttenrauch, G Neumann Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | | 2021 |
| Information Theoretic Trust Regions for Gradient Descent G Neumann, M Hüttenrauch, P Becker | | |
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Verified email at robot-learning.de
