Lange, Robert Tjarko

18 publications

NeurIPS 2025 NAVIX: Scaling MiniGrid Environments with JAX Eduardo Pignatelli, Jarek Luca Liesen, Robert Tjarko Lange, Chris Lu, Pablo Samuel Castro, Laura Toni

UAI 2025 Stein Variational Evolution Strategies Cornelius V. Braun, Robert Tjarko Lange, Marc Toussaint

ICML 2025 Text-to-LoRA: Instant Transformer Adaption Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange

ICLR 2024 Behaviour Distillation Andrei Lupu, Chris Lu, Jarek Luca Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster

NeurIPS 2024 Discovering Preference Optimization Algorithms with and for Large Language Models Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob Foerster, Mihaela van der Schaar, Robert Tjarko Lange

ICMLW 2024 Discovering Preference Optimization Algorithms with and for Large Language Models Chris Lu, Samuel Holt, Claudio Fanconi, Alex James Chan, Jakob Nicolaus Foerster, Mihaela van der Schaar, Robert Tjarko Lange

ICLR 2024 Discovering Temporally-Aware Reinforcement Learning Algorithms Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster

NeurIPSW 2024 Improving Model Merging with Natural Niches João Abrantes, Robert Tjarko Lange, Yujin Tang

NeurIPSW 2024 Improving Model Merging with Natural Niches João Abrantes, Robert Tjarko Lange, Yujin Tang

NeurIPSW 2024 Instant Transformer Adaption via HyperLoRA Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange

NeurIPSW 2024 Instant Transformer Adaption via HyperLoRA Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange

ICML 2024 Position: Leverage Foundational Models for Black-Box Optimization Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen

ICLR 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

NeurIPSW 2023 Discovering Temporally-Aware Reinforcement Learning Algorithms Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster

NeurIPSW 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 Schroeder 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

ICML 2023 Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability Robert Tjarko Lange, Henning Sprekeler

AAAI 2022 Learning Not to Learn: Nature Versus Nurture in Silico Robert Tjarko Lange, Henning Sprekeler

ICLR 2022 On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning Marc Vischer, Robert Tjarko Lange, Henning Sprekeler