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Robert T. Lange
Person information
- affiliation: Sakana.AI, Tokyo, Japan
- affiliation: Technical University of Berlin, Germany
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2020 – today
- 2024
- [c15]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster:
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS 2024: 2444-2446 - [c14]Robert T. Lange
, Yingtao Tian
Evolution Transformer: In-Context Evolutionary Optimization. GECCO Companion 2024: 575-578 - [c13]Robert T. Lange
Large Language Models As Evolution Strategies. GECCO Companion 2024: 579-582 - [c12]Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster:
Discovering Temporally-Aware Reinforcement Learning Algorithms. ICLR 2024 - [c11]Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster:
Behaviour Distillation. ICLR 2024 - [c10]Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen:
Position: Leverage Foundational Models for Black-Box Optimization. ICML 2024 - [i19]Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert T. Lange, Shimon Whiteson, Jakob Nicolaus Foerster:
Discovering Temporally-Aware Reinforcement Learning Algorithms. CoRR abs/2402.05828 (2024) - [i18]Robert Tjarko Lange, Yingtao Tian, Yujin Tang:
Large Language Models As Evolution Strategies. CoRR abs/2402.18381 (2024) - [i17]Robert Tjarko Lange, Yingtao Tian, Yujin Tang:
Evolution Transformer: In-Context Evolutionary Optimization. CoRR abs/2403.02985 (2024) - [i16]Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen:
Position: Leverage Foundational Models for Black-Box Optimization. CoRR abs/2405.03547 (2024) - [i15]Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange:
Discovering Preference Optimization Algorithms with and for Large Language Models. CoRR abs/2406.08414 (2024) - [i14]Jarek Liesen, Chris Lu, Andrei Lupu, Jakob N. Foerster, Henning Sprekeler, Robert T. Lange:
Discovering Minimal Reinforcement Learning Environments. CoRR abs/2406.12589 (2024) - [i13]Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob N. Foerster:
Behaviour Distillation. CoRR abs/2406.15042 (2024) - [i12]Eduardo Pignatelli, Jarek Liesen, Robert Tjarko Lange, Chris Lu, Pablo Samuel Castro, Laura Toni:
NAVIX: Scaling MiniGrid Environments with JAX. CoRR abs/2407.19396 (2024) - [i11]Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, David Ha:
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. CoRR abs/2408.06292 (2024) - 2023
- [c9]Robert Tjarko Lange, Tom Schaul
Discovering Evolution Strategies via Meta-Black-Box Optimization. GECCO Companion 2023: 29-30 - [c8]Robert Tjarko Lange, Henning Sprekeler
Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainability. GECCO Companion 2023: 31-32 - [c7]Robert Tjarko Lange
evosax: JAX-Based Evolution Strategies. GECCO Companion 2023: 659-662 - [c6]Robert Tjarko Lange, Tom Schaul
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. GECCO 2023: 929-937 - [c5]Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag:
Discovering Evolution Strategies via Meta-Black-Box Optimization. ICLR 2023 - [c4]Robert Tjarko Lange, Henning Sprekeler:
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. ICML 2023: 18535-18547 - [c3]Robert Tjarko Lange, Yujin Tang, Yingtao Tian:
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. NeurIPS 2023 - [i10]Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag:
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. CoRR abs/2304.03995 (2023) - [i9]Robert Tjarko Lange, Henning Sprekeler:
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. CoRR abs/2306.00045 (2023) - [i8]Robert Tjarko Lange, Yujin Tang, Yingtao Tian:
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. CoRR abs/2311.02394 (2023) - [i7]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster:
JaxMARL: Multi-Agent RL Environments in JAX. CoRR abs/2311.10090 (2023) - 2022
- [c2]Robert Tjarko Lange, Henning Sprekeler:
Learning Not to Learn: Nature versus Nurture In Silico. AAAI 2022: 7290-7299 - [c1]Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler:
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. ICLR 2022 - [i6]Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dallibard, Chris Lu, Satinder Singh, Sebastian Flennerhag:
Discovering Evolution Strategies via Meta-Black-Box Optimization. CoRR abs/2211.11260 (2022) - [i5]Robert Tjarko Lange:
evosax: JAX-based Evolution Strategies. CoRR abs/2212.04180 (2022) - 2021
- [j1]Sam Gijsen, Miro Grundei
Neural surprise in somatosensory Bayesian learning. PLoS Comput. Biol. 17(2) (2021) - [i4]Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler:
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. CoRR abs/2105.01648 (2021) - 2020
- [i3]Robert Tjarko Lange, Henning Sprekeler:
Learning not to learn: Nature versus nurture in silico. CoRR abs/2010.04466 (2020)
2010 – 2019
- 2019
- [i2]Robert Tjarko Lange, Aldo Faisal:
Action Grammars: A Cognitive Model for Learning Temporal Abstractions. CoRR abs/1907.12477 (2019) - [i1]Petros Christodoulou, Robert Tjarko Lange, Ali Shafti, A. Aldo Faisal:
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions. CoRR abs/1910.02876 (2019)
Coauthor Index
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last updated on 2024-09-25 01:36 CEST by the dblp team
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