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Robert Tjarko Lange
Robert Tjarko Lange
Sakana AI, TU Berlin
Verified email at tu-berlin.de - Homepage
Title
Cited by
Cited by
Year
evosax: JAX-based Evolution Strategies
RT Lange
Genetic and Evolutionary Computation Conference Companion (GECCO), URL http …, 2022
43*2022
gymnax: A JAX-based reinforcement learning environment library
RT Lange
URL http://github.com/RobertTLange/gymnax, 2022
352022
Neural surprise in somatosensory Bayesian learning
S Gijsen*, M Grundei*, RT Lange, D Ostwald, F Blankenburg
PLOS Computational Biology 17 (2), e1008068, 2021
342021
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
222022
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
172023
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
132023
Learning not to learn: Nature versus nurture in silico
RT Lange, H Sprekeler
AAAI Conference on Artificial Intelligence, 2022
112022
The lottery ticket hypothesis: A survey
RT Lange
https://roberttlange.github.io/posts/2020/06/lottery-ticket-hypothesis/, 2020
112020
MLE-Infrastructure: A Set of Lightweight Tools for Distributed Machine Learning Experimentation
RT Lange
URL https://github.com/mle-infrastructure, 2021
72021
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
62023
Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions
RT Lange, A Faisal
Deep Reinforcement Learning Workshop (NeurIPS, 2019), 2019
52019
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
RT Lange, Y Tang, Y Tian
Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023
32023
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
P Christodoulou*, RT Lange*, A Shafti, AA Faisal
arXiv preprint arXiv:1910.02876, 2019
32019
Large Language Models As Evolution Strategies
RT Lange, Y Tian, Y Tang
arXiv preprint arXiv:2402.18381, 2024
12024
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
12023
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
RT Lange, H Sprekeler
40th International Conference on Machine Learning, ICML 2023, 2023
12023
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
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Articles 1–19