Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

24 June 2021

Sertan Girgin

Olivier Bachem

Papers citing "Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation"

50 / 269 papers shown

Title
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning Esraa Elelimy Adam White Michael H. Bowling Martha White OffRL 36 2 0 02 Sep 2024
Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research Tian Lan Huan Wang Caiming Xiong Silvio Savarese AI4CE 24 0 0 01 Aug 2024
NAVIX: Scaling MiniGrid Environments with JAX Eduardo Pignatelli Jarek Liesen R. T. Lange Chris Xiaoxuan Lu Pablo Samuel Castro Laura Toni 37 3 0 28 Jul 2024
Gymnasium: A Standard Interface for Reinforcement Learning Environments Mark Towers Ariel Kwiatkowski Jordan Terry John U. Balis Gianluca De Cola ... Andrea Pierré Sander Schulhoff Jun Jet Tai Hannah Tan Omar G. Younis AuLLM OffRL 19 155 0 24 Jul 2024
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments Runfa Chen Ling Wang Yu Du Tianrui Xue Fuchun Sun Jianwei Zhang Wenbing Huang OffRL 49 1 0 17 Jul 2024
UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers Huy Ha Yihuai Gao Zipeng Fu Jie Tan Shuran Song 32 37 0 14 Jul 2024
A Review of Nine Physics Engines for Reinforcement Learning Research Michael Kaup Cornelius Wolff Hyerim Hwang Julius Mayer Elia Bruni AI4CE 32 5 0 11 Jul 2024
RoboMorph: Evolving Robot Morphology using Large Language Models Kevin Qiu Krzysztof Ciebiera Krzysztof Ciebiera Marek Cygan Marek Cygan Łukasz Kuciński LM&Ro 49 0 0 11 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
A Review of Differentiable Simulators Rhys Newbury Jack Collins Kerry He Jiahe Pan Ingmar Posner David Howard Akansel Cosgun AI4CE 43 9 0 08 Jul 2024
EAGERx: Graph-Based Framework for Sim2real Robot Learning B. V. D. Heijden Jelle Luijkx Laura Ferranti Jens Kober Robert Babuška 31 0 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
Combining Automated Optimisation of Hyperparameters and Reward Shape Julian Dierkes Emma Cramer Holger Hoos Sebastian Trimpe 30 1 0 26 Jun 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 48 4 0 25 Jun 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 39 4 0 21 Jun 2024
Evolution of Rewards for Food and Motor Action by Simulating Birth and Death Yuji Kanagawa Kenji Doya 19 0 0 21 Jun 2024
Discovering Minimal Reinforcement Learning Environments Jarek Liesen Chris Xiaoxuan Lu Andrei Lupu Jakob N. Foerster Henning Sprekeler R. T. Lange OffRL 46 3 0 18 Jun 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning Silvia Sapora Gokul Swamy Chris Xiaoxuan Lu Yee Whye Teh Jakob Nicolaus Foerster 34 6 0 15 Jun 2024
Speeding up Policy Simulation in Supply Chain RL Vivek Farias Joren Gijsbrechts Aryan I. Khojandi Tianyi Peng A. Zheng 36 0 0 04 Jun 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL Lenart Treven Bhavya Sukhija Yarden As Florian Dorfler Andreas Krause 39 0 0 03 Jun 2024
Learning-based legged locomotion; state of the art and future perspectives Sehoon Ha Joonho Lee M. van de Panne Zhaoming Xie Wenhao Yu Majid Khadiv 45 16 0 03 Jun 2024
A Batch Sequential Halving Algorithm without Performance Degradation Sotetsu Koyamada Soichiro Nishimori Shin Ishii 23 0 0 01 Jun 2024
Constrained Dynamics Simulation: More With Less A. Sathya AI4CE 29 0 0 31 May 2024
Model-Based Diffusion for Trajectory Optimization Chaoyi Pan Zeji Yi Guanya Shi Guannan Qu 47 6 0 28 May 2024
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation Ignat Georgiev K. Srinivasan Jie Xu Eric Heiden Animesh Garg 36 6 0 28 May 2024
Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation Yunlong Song Davide Scaramuzza 31 0 0 25 May 2024
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity Johannes Ackermann Takayuki Osa Masashi Sugiyama OffRL 39 2 0 23 May 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 35 4 0 19 May 2024
Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity Eleni Nisioti Erwan Plantec Milton L. Montero J. Pedersen Sebastian Risi 21 1 0 14 May 2024
DiffGen: Robot Demonstration Generation via Differentiable Physics Simulation, Differentiable Rendering, and Vision-Language Model Yang Jin Jun Lv Shuqiang Jiang Cewu Lu 38 1 0 12 May 2024
Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies Paul Templier Emmanuel Rachelson Antoine Cully Dennis G. Wilson 19 0 0 07 May 2024
Quality with Just Enough Diversity in Evolutionary Policy Search Paul Templier Luca Grillotti Emmanuel Rachelson Dennis G. Wilson Antoine Cully 29 1 0 07 May 2024
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning Stone Tao Arth Shukla Tse-kai Chan Hao Su OffRL 38 4 0 06 May 2024
Stabilizing Backpropagation Through Time to Learn Complex Physics Patrick Schnell Nils Thuerey 35 2 0 03 May 2024
Differentiable Particles for General-Purpose Deformable Object Manipulation Siwei Chen Yiqing Xu Cunjun Yu Linfeng Li David Hsu 38 6 0 02 May 2024
QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer Xueyi Liu Kangbo Lyu Jieqiong Zhang Tao Du Li Yi 40 4 0 11 Apr 2024
Learning Quadrupedal Locomotion via Differentiable Simulation Clemens Schwarke Victor Klemm J. Tordesillas Jean-Pierre Sleiman Marco Hutter 35 4 0 03 Apr 2024
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA Zhenyu Liang Tao Jiang Kebin Sun Ran Cheng 35 5 0 01 Apr 2024
CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning Elliot Chane-Sane Pierre-Alexandre Leziart T. Flayols O. Stasse Philippe Souères Nicolas Mansard 34 8 0 27 Mar 2024
Learning Quadruped Locomotion Using Differentiable Simulation Yunlong Song Sangbae Kim Davide Scaramuzza 32 11 0 21 Mar 2024
JaxUED: A simple and useable UED library in Jax Samuel Coward Michael Beukman Jakob Foerster 20 5 0 19 Mar 2024
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics Luca Grillotti Maxence Faldor Borja G. León Antoine Cully 43 2 0 15 Mar 2024
Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks Kade Heckel Thomas Nowotny 30 3 0 29 Feb 2024
Differentiable Biomechanics Unlocks Opportunities for Markerless Motion Capture R. J. Cotton 34 5 0 27 Feb 2024
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning Michael T. Matthews Michael Beukman Benjamin Ellis Mikayel Samvelyan Matthew Jackson Samuel Coward Jakob Foerster OffRL 32 24 0 26 Feb 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning Anthony Liang Guy Tennenholtz Chih-Wei Hsu Yinlam Chow Erdem Biyik Craig Boutilier OffRL 38 1 0 25 Feb 2024
Advancing Monocular Video-Based Gait Analysis Using Motion Imitation with Physics-Based Simulation Nikolaos Smyrnakis T. Karakostas R. J. Cotton 40 1 0 20 Feb 2024
Refining Minimax Regret for Unsupervised Environment Design Michael Beukman Samuel Coward Michael T. Matthews Mattie Fellows Minqi Jiang Michael Dennis Jakob Foerster 18 6 0 19 Feb 2024
SPO: Sequential Monte Carlo Policy Optimisation Matthew Macfarlane Edan Toledo Donal Byrne Paul Duckworth Alexandre Laterre 25 1 0 12 Feb 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms Matthew Jackson Chris Xiaoxuan Lu Louis Kirsch R. T. Lange Shimon Whiteson Jakob N. Foerster 19 18 0 08 Feb 2024