Robert Tjarko Lange

38 papers A* 9A 2Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Doc-to-LoRA: Learning to Instantly Internalize Contexts. CoRR Rujikorn Charakorn, Edoardo Cetin, Shinnosuke Uesaka, Robert Tjarko Lange
2025	J	`jnl`	Competition and Attraction Improve Model Fusion. CoRR João Abrantes, Robert Tjarko Lange, Yujin Tang
2025	J	`jnl`	Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization. CoRR Maxence Faldor, Robert Tjarko Lange, Antoine Cully
2025	J	`jnl`	ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution. CoRR Robert Tjarko Lange, Yuki Imajuku, Edoardo Cetin
2025	A	`conf`	Stein Variational Evolution Strategies. UAI Cornelius V. Braun, Robert Tjarko Lange, Marc Toussaint
2025	A*	`conf`	Text-to-LoRA: Instant Transformer Adaption. ICML Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
2025	J	`jnl`	Text-to-LoRA: Instant Transformer Adaption. CoRR Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
2025	J	`jnl`	The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search. CoRR Yutaro Yamada, Robert Tjarko Lange, Cong Lu, Shengran Hu, Chris Lu, Jakob N. Foerster, Jeff Clune, David Ha
2025	J	`jnl`	Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization. CoRR Robert Tjarko Lange, Qi Sun, Aaditya Prasad, Maxence Faldor, Yujin Tang, David Ha
2024	A*	`conf`	Behaviour Distillation. ICLR Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster
2024	J	`jnl`	Behaviour Distillation. CoRR Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob N. Foerster
2024	J	`jnl`	Discovering Preference Optimization Algorithms with and for Large Language Models. CoRR Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange
2024	A*	`conf`	Discovering Temporally-Aware Reinforcement Learning Algorithms. ICLR Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
2024	J	`jnl`	Evolution Transformer: In-Context Evolutionary Optimization. CoRR Robert Tjarko Lange, Yingtao Tian, Yujin Tang
2024	J	`jnl`	Large Language Models As Evolution Strategies. CoRR Robert Tjarko Lange, Yingtao Tian, Yujin Tang
2024	J	`jnl`	NAVIX: Scaling MiniGrid Environments with JAX. CoRR Eduardo Pignatelli, Jarek Liesen, Robert Tjarko Lange, Chris Lu, Pablo Samuel Castro, Laura Toni
2024	A*	`conf`	Position: Leverage Foundational Models for Black-Box Optimization. ICML Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024	J	`jnl`	Position: Leverage Foundational Models for Black-Box Optimization. CoRR Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024	J	`jnl`	The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. CoRR Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob N. Foerster, Jeff Clune, David Ha
2023	A	`conf`	Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. GECCO Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
2023	J	`jnl`	Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. CoRR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
2023	—	`conf`	Discovering Evolution Strategies via Meta-Black-Box Optimization. GECCO Companion Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2023	A*	`conf`	Discovering Evolution Strategies via Meta-Black-Box Optimization. ICLR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2023	J	`jnl`	JaxMARL: Multi-Agent RL Environments in JAX. CoRR 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
2023	A*	`conf`	Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. ICML Robert Tjarko Lange, Henning Sprekeler
2023	J	`jnl`	Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. CoRR Robert Tjarko Lange, Henning Sprekeler
2023	—	`conf`	Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainability. GECCO Companion Robert Tjarko Lange, Henning Sprekeler
2023	A*	`conf`	NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. NeurIPS Robert Tjarko Lange, Yujin Tang, Yingtao Tian
2023	J	`jnl`	NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. CoRR Robert Tjarko Lange, Yujin Tang, Yingtao Tian
2023	—	`conf`	evosax: JAX-Based Evolution Strategies. GECCO Companion Robert Tjarko Lange
2022	J	`jnl`	Discovering Evolution Strategies via Meta-Black-Box Optimization. CoRR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dallibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2022	A*	`conf`	Learning Not to Learn: Nature versus Nurture In Silico. AAAI Robert Tjarko Lange, Henning Sprekeler
2022	A*	`conf`	On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. ICLR Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler
2022	J	`jnl`	evosax: JAX-based Evolution Strategies. CoRR Robert Tjarko Lange
2021	J	`jnl`	On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. CoRR Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler
2020	J	`jnl`	Learning not to learn: Nature versus nurture in silico. CoRR Robert Tjarko Lange, Henning Sprekeler
2019	J	`jnl`	Action Grammars: A Cognitive Model for Learning Temporal Abstractions. CoRR Robert Tjarko Lange, Aldo Faisal
2019	J	`jnl`	Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions. CoRR Petros Christodoulou, Robert Tjarko Lange, Ali Shafti, A. Aldo Faisal