| evosax: JAX-based Evolution Strategies RT Lange Genetic and Evolutionary Computation Conference Companion (GECCO), URL http …, 2022 | 44* | 2022 |
| gymnax: A JAX-based reinforcement learning environment library RT Lange URL http://github.com/RobertTLange/gymnax, 2022 | 35 | 2022 |
| Neural surprise in somatosensory Bayesian learning S Gijsen*, M Grundei*, RT Lange, D Ostwald, F Blankenburg PLOS Computational Biology 17 (2), e1008068, 2021 | 34 | 2021 |
| Discovering Evolution Strategies via Meta-Black-Box Optimization R Tjarko Lange, T Schaul, Y Chen, T Zahavy, V Dallibard, C Lu, S Singh, ... 11th International Conference on Learning Representations, ICLR 2023, 2023 | 30* | 2023 |
| On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning MA Vischer*, RT Lange*, H Sprekeler 10th International Conference on Learning Representations, ICLR 2022, 2022 | 22 | 2022 |
| Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization RT Lange, T Schaul, Y Chen, C Lu, T Zahavy, V Dalibard, S Flennerhag Genetic and Evolutionary Computation Conference Companion (GECCO), 2023 | 17 | 2023 |
| Fish shoals resemble a stochastic excitable system driven by environmental perturbations L Gómez-Nava, RT Lange, PP Klamser, J Lukas, L Arias-Rodriguez, ... Nature Physics, 1-7, 2023 | 14 | 2023 |
| Learning not to learn: Nature versus nurture in silico RT Lange, H Sprekeler AAAI Conference on Artificial Intelligence, 2022 | 11 | 2022 |
| The lottery ticket hypothesis: A survey RT Lange https://roberttlange.github.io/posts/2020/06/lottery-ticket-hypothesis/, 2020 | 11 | 2020 |
| MLE-Infrastructure: A Set of Lightweight Tools for Distributed Machine Learning Experimentation RT Lange URL https://github.com/mle-infrastructure, 2021 | 7 | 2021 |
| JaxMARL: Multi-Agent RL Environments in JAX A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ... arXiv preprint arXiv:2311.10090, 2023 | 6 | 2023 |
| Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions RT Lange, A Faisal Deep Reinforcement Learning Workshop (NeurIPS, 2019), 2019 | 5 | 2019 |
| NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications RT Lange, Y Tang, Y Tian Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 | 3 | 2023 |
| Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions P Christodoulou*, RT Lange*, A Shafti, AA Faisal arXiv preprint arXiv:1910.02876, 2019 | 3 | 2019 |
| Large Language Models As Evolution Strategies RT Lange, Y Tian, Y Tang arXiv preprint arXiv:2402.18381, 2024 | 1 | 2024 |
| Discovering Temporally-Aware Reinforcement Learning Algorithms MT Jackson, C Lu, L Kirsch, RT Lange, S Whiteson, JN Foerster Second Agent Learning in Open-Endedness Workshop, 2023 | 1 | 2023 |
| Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability RT Lange, H Sprekeler 40th International Conference on Machine Learning, ICML 2023, 2023 | 1 | 2023 |
| Evolution Transformer: In-Context Evolutionary Optimization RT Lange, Y Tian, Y Tang arXiv preprint arXiv:2403.02985, 2024 | | 2024 |
| Discovering Minimal Reinforcement Learning Environments JL Liesen, C Lu, A Lupu, JN Foerster, H Sprekeler, RT Lange | | 2023 |
Chris LuUniversity of OxfordBestätigte E-Mail-Adresse bei exeter.ox.ac.uk
