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Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

26 February 2024

Papers citing "Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning"

23 / 23 papers shown

Title
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments Riley Simmons-Edler R. Badman Felix Baastad Berg Raymond Chua John J. Vastola Joshua Lunger William Qian K. Rajan OffRL 24 0 0 08 Jun 2025
An Optimisation Framework for Unsupervised Environment Design Nathan Monette Alistair Letcher Michael Beukman Matthew Jackson Alexander Rutherford Alexander David Goldie Jakob N. Foerster 74 0 0 27 May 2025
Large Language Models for Planning: A Comprehensive and Systematic Survey Pengfei Cao Tianyi Men Wencan Liu Jingwen Zhang Xuzhao Li Xixun Lin Dianbo Sui Yanan Cao Kang Liu Jun Zhao LLMAG LM&Ro OffRL ELM LRM 131 0 0 26 May 2025
CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World Zoya Volovikova G. Gorbov Petr Kuderov Aleksandr I. Panov A. Skrynnik 95 0 0 17 May 2025
Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning Mingqi Yuan Qi Wang Guozheng Ma Yue Liu Xin Jin Yunbo Wang Xiaokang Yang Wenjun Zeng D. Tao OffRL AI4CE 109 0 0 24 Apr 2025
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination Kunal Jha Wilka Carvalho Yancheng Liang S. Du Max Kleiman-Weiner Natasha Jaques 126 0 0 17 Apr 2025
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Benjamin Ellis Matthew Jackson Andrei Lupu Alexander David Goldie Mattie Fellows Shimon Whiteson Jakob Foerster 147 3 0 22 Dec 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 121 8 0 30 Oct 2024
EconoJax: A Fast & Scalable Economic Simulation in Jax Koen Ponse Aske Plaat Niki van Stein Thomas M. Moerland 92 1 0 29 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee Dongyoon Hwang Donghu Kim Hyunseung Kim Jun Jet Tai K. Subramanian Peter R. Wurman Jaegul Choo Peter Stone Takuma Seno OffRL 189 17 0 13 Oct 2024
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL Eduardo Pignatelli Johan Ferret Tim Rockäschel Edward Grefenstette Davide Paglieri Samuel Coward Laura Toni 88 3 0 19 Sep 2024
JaxLife: An Open-Ended Agentic Simulator Chris Xiaoxuan Lu Michael Beukman Michael T. Matthews Jakob Foerster LM&Ro 82 3 0 01 Sep 2024
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery Alexander Rutherford Michael Beukman Timon Willi Bruno Lacerda Nick Hawes Jakob Foerster 106 9 0 27 Aug 2024
PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators Sam Earle Zehua Jiang Julian Togelius 77 3 0 22 Aug 2024
NAVIX: Scaling MiniGrid Environments with JAX Eduardo Pignatelli Jarek Liesen R. T. Lange Chris Xiaoxuan Lu Pablo Samuel Castro Laura Toni 142 4 0 28 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 141 5 0 09 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 173 26 0 05 Jul 2024
RobocupGym: A challenging continuous control benchmark in Robocup Michael Beukman Branden Ingram Geraud Nangue Tasse Benjamin Rosman Pravesh Ranchod OffRL 90 2 0 03 Jul 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 116 4 0 25 Jun 2024
A Batch Sequential Halving Algorithm without Performance Degradation Sotetsu Koyamada Soichiro Nishimori Shin Ishii 89 0 0 01 Jun 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 176 0 0 29 May 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 116 30 0 19 Dec 2023
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX Clément Bonnet Daniel Luo Donal Byrne Shikha Surana Sasha Abramowitz ... Siddarth S. Singh Daniel Furelos-Blanco Victor Le Arnu Pretorius Alexandre Laterre 119 31 0 16 Jun 2023