Robert Tjarko Lange
Robert Tjarko Lange
Sakana AI, TU Berlin
Verified email at - Homepage
Cited by
Cited by
evosax: JAX-based Evolution Strategies
RT Lange
Genetic and Evolutionary Computation Conference Companion (GECCO), URL http …, 2022
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
gymnax: A JAX-based reinforcement learning environment library
RT Lange
URL, 2022
Neural surprise in somatosensory Bayesian learning
S Gijsen*, M Grundei*, RT Lange, D Ostwald, F Blankenburg
PLOS Computational Biology 17 (2), e1008068, 2021
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
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
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 19 (5), 663-669, 2023
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ...
Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024
Learning not to learn: Nature versus nurture in silico
RT Lange, H Sprekeler
AAAI Conference on Artificial Intelligence, 2022
Large Language Models As Evolution Strategies
RT Lange, Y Tian, Y Tang
arXiv preprint arXiv:2402.18381, 2024
The lottery ticket hypothesis: A survey
RT Lange, 2020
MLE-Infrastructure: A Set of Lightweight Tools for Distributed Machine Learning Experimentation
RT Lange
URL, 2021
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
Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions
RT Lange, A Faisal
Deep Reinforcement Learning Workshop (NeurIPS, 2019), 2019
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
R Lange, Y Tang, Y Tian
Advances in Neural Information Processing Systems 36, 32160-32172, 2023
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
P Christodoulou*, RT Lange*, A Shafti, AA Faisal
arXiv preprint arXiv:1910.02876, 2019
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
RT Lange, H Sprekeler
40th International Conference on Machine Learning, ICML 2023, 2023
Behaviour distillation
A Lupu, C Lu, J Liesen, RT Lange, J Foerster
arXiv preprint arXiv:2406.15042, 2024
Position Paper: Leveraging Foundational Models for Black-Box Optimization: Benefits, Challenges, and Future Directions
X Song, Y Tian, RT Lange, C Lee, Y Tang, Y Chen
arXiv preprint arXiv:2405.03547, 2024
Evolution Transformer: In-Context Evolutionary Optimization
RT Lange, Y Tian, Y Tang
arXiv preprint arXiv:2403.02985, 2024
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