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
Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning Mingqi Yuan Qi Wang Guozheng Ma Bo-wen Li Xin Jin Yunbo Wang Xiaokang Yang Wenjun Zeng D. Tao OffRL AI4CE 33 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 22 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 77 0 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 36 2 0 30 Oct 2024
EconoJax: A Fast & Scalable Economic Simulation in Jax Koen Ponse Aske Plaat N. V. Stein Thomas M. Moerland 23 0 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 62 6 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 32 2 0 19 Sep 2024
JaxLife: An Open-Ended Agentic Simulator Chris Xiaoxuan Lu Michael Beukman Michael T. Matthews Jakob Foerster LM&Ro 33 2 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 40 5 0 27 Aug 2024
PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators Sam Earle Zehua Jiang Julian Togelius 19 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 34 3 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 40 3 0 09 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 57 14 0 05 Jul 2024
RobocupGym: A challenging continuous control benchmark in Robocup Michael Beukman Branden Ingram Geraud Nangue Tasse Benjamin Rosman Pravesh Ranchod OffRL 43 1 0 03 Jul 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 46 3 0 25 Jun 2024
A Batch Sequential Halving Algorithm without Performance Degradation Sotetsu Koyamada Soichiro Nishimori Shin Ishii 23 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 29 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 24 23 0 19 Dec 2023
minimax: Efficient Baselines for Autocurricula in JAX Minqi Jiang Michael Dennis Edward Grefenstette Tim Rocktaschel 19 8 0 21 Nov 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 22 29 0 16 Jun 2023
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 41 13 0 11 Jul 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 116 95 0 06 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 226 89 0 27 Sep 2021