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

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"

19 / 269 papers shown

Title
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 28 93 0 10 Nov 2021
SaLinA: Sequential Learning of Agents Ludovic Denoyer Alfredo De la Fuente S. Duong Jean-Baptiste Gaya Pierre-Alexandre Kamienny Daniel H. Thompson 31 11 0 15 Oct 2021
Learning a subspace of policies for online adaptation in Reinforcement Learning Jean-Baptiste Gaya Laure Soulier Ludovic Denoyer OffRL 30 15 0 11 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 36 14 0 10 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation J. Wong Viktor Makoviychuk Anima Anandkumar Yuke Zhu 29 11 0 02 Oct 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning N. Rudin David Hoeller Philipp Reist Marco Hutter 113 544 0 24 Sep 2021
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients Brian Plancher Sabrina M. Neuman Radhika Ghosal S. Kuindersma Vijay Janapa Reddi AI4CE PINN 40 15 0 14 Sep 2021
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 39 68 0 14 Sep 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics Zhaocong Yuan Adam W. Hall Siqi Zhou Lukas Brunke Melissa Greeff Jacopo Panerati Angela P. Schoellig OffRL 99 53 0 13 Sep 2021
Direct Advantage Estimation Hsiao-Ru Pan Nico Gürtler Alexander Neitz Bernhard Schölkopf OffRL CML 12 11 0 13 Sep 2021
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU Tian-Shing Lan Sunil Srinivasa Huan Wang Stephan Zheng AI4CE 11 13 0 31 Aug 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning Viktor Makoviychuk Lukasz Wawrzyniak Yunrong Guo Michelle Lu Kier Storey ... David Hoeller N. Rudin Arthur Allshire Ankur Handa Gavriel State 39 1,011 0 24 Aug 2021
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger Arthur Allshire Mayank Mittal Varun Lodaya Viktor Makoviychuk Denys Makoviichuk Felix Widmaier Manuel Wüthrich Stefan Bauer Ankur Handa Animesh Garg 16 72 0 22 Aug 2021
Exploring the efficacy of neural networks for trajectory compression and the inverse problem Theodoros Ntakouris 23 0 0 19 Jul 2021
Mava: a research library for distributed multi-agent reinforcement learning in JAX Arnu Pretorius Kale-ab Tessera St John Grimbly Kevin Eloff Lawrence Francis Claude Formanek Andries P. Smit Alexandre Laterre 22 12 0 03 Jul 2021
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients Chris Cundy Rishi Desai Stefano Ermon OffRL 30 4 0 30 Dec 2020
A Review of Platforms for the Development of Agent Systems Constantin-Valentin Pal F. Leon M. Paprzycki M. Ganzha 8 33 0 17 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 337 1,951 0 04 May 2020