Robert T. Lange

According to our database, Robert T. Lange authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Text-to-LoRA: Instant Transformer Adaption.

Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange

CoRR, June, 2025

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.

Jenny Zhang, Shengran Hu, Cong Lu, Robert T. Lange, Jeff Clune

CoRR, May, 2025

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

Yutaro Yamada, Robert Tjarko Lange, Cong Lu, Shengran Hu, Chris Lu, Jakob N. Foerster, Jeff Clune, David Ha

CoRR, April, 2025

Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization.

Maxence Faldor, Robert Tjarko Lange, Antoine Cully

CoRR, February, 2025

Stein Variational Evolution Strategies.

Cornelius V. Braun, Robert Tjarko Lange, Marc Toussaint

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Competition and Attraction Improve Model Fusion.

João Abrantes, Robert T. Lange, Yujin Tang

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob N. Foerster, Jeff Clune, David Ha

CoRR, 2024

NAVIX: Scaling MiniGrid Environments with JAX.

Eduardo Pignatelli, Jarek Liesen, Robert Tjarko Lange, Chris Lu, Pablo Samuel Castro, Laura Toni

CoRR, 2024

Discovering Minimal Reinforcement Learning Environments.

Jarek Liesen, Chris Lu, Andrei Lupu, Jakob N. Foerster, Henning Sprekeler, Robert T. Lange

CoRR, 2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Discovering Preference Optimization Algorithms with and for Large Language Models.

Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert T. Lange

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Position: Leverage Foundational Models for Black-Box Optimization.

Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Behaviour Distillation.

Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Discovering Temporally-Aware Reinforcement Learning Algorithms.

Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models As Evolution Strategies.

Robert T. Lange, Yingtao Tian, Yujin Tang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolution Transformer: In-Context Evolutionary Optimization.

Robert T. Lange, Yingtao Tian, Yujin Tang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

JaxMARL: Multi-Agent RL Environments in JAX.

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

CoRR, 2023

NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications.

Robert Tjarko Lange, Yujin Tang, Yingtao Tian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability.

Robert Tjarko Lange, Henning Sprekeler

Proceedings of the International Conference on Machine Learning, 2023

Discovering Evolution Strategies via Meta-Black-Box Optimization.

Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization.

Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

evosax: JAX-Based Evolution Strategies.

Robert Tjarko Lange

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning.

Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Not to Learn: Nature versus Nurture In Silico.

Robert Tjarko Lange, Henning Sprekeler

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Neural surprise in somatosensory Bayesian learning.

Sam Gijsen, Miro Grundei, Robert T. Lange, Dirk Ostwald, Felix Blankenburg

PLoS Comput. Biol., 2021

2019

Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions.

Petros Christodoulou, Robert Tjarko Lange, Ali Shafti, A. Aldo Faisal

CoRR, 2019

Action Grammars: A Cognitive Model for Learning Temporal Abstractions.

Robert Tjarko Lange, Aldo Faisal

CoRR, 2019