Robert Tjarko Lange

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Top Venues

GECCO Companion

Publications

Robert Tjarko Lange, Yingtao Tian, Yujin Tang
Evolution Transformer: In-Context Evolutionary Optimization. CoRR (2024)
Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
Discovering Temporally-Aware Reinforcement Learning Algorithms. ICLR (2024)
Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob N. Foerster
Behaviour Distillation. CoRR (2024)
Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
Discovering Temporally-Aware Reinforcement Learning Algorithms. CoRR (2024)
Robert Tjarko Lange, Yingtao Tian, Yujin Tang
Large Language Models As Evolution Strategies. CoRR (2024)
Eduardo Pignatelli, Jarek Liesen, Robert Tjarko Lange, Chris Lu, Pablo Samuel Castro, Laura Toni
NAVIX: Scaling MiniGrid Environments with JAX. CoRR (2024)
Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster
Behaviour Distillation. ICLR (2024)
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 (2024)
Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
Position: Leverage Foundational Models for Black-Box Optimization. CoRR (2024)
Robert Tjarko Lange, Yujin Tang, Yingtao Tian
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. CoRR (2023)
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. GECCO Companion (2023)
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)
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. GECCO (2023)
Robert Tjarko Lange
evosax: JAX-Based Evolution Strategies. GECCO Companion (2023)
Robert Tjarko Lange, Henning Sprekeler
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. ICML (2023)
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 (2023)
Robert Tjarko Lange, Henning Sprekeler
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. CoRR (2023)
Robert Tjarko Lange, Yujin Tang, Yingtao Tian
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. NeurIPS (2023)
Robert Tjarko Lange, Henning Sprekeler
Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainability. GECCO Companion (2023)
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 (2023)
Robert Tjarko Lange, Henning Sprekeler
Learning Not to Learn: Nature versus Nurture In Silico. AAAI (2022)
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 (2022)
Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. ICLR (2022)
Robert Tjarko Lange
evosax: JAX-based Evolution Strategies. CoRR (2022)
Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. CoRR (2021)
Robert Tjarko Lange, Henning Sprekeler
Learning not to learn: Nature versus nurture in silico. CoRR (2020)
Petros Christodoulou, Robert Tjarko Lange, Ali Shafti, A. Aldo Faisal
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions. CoRR (2019)
Robert Tjarko Lange, Aldo Faisal
Action Grammars: A Cognitive Model for Learning Temporal Abstractions. CoRR (2019)