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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
C. Freeman
Erik Frey
Anton Raichuk
Sertan Girgin
Igor Mordatch
Olivier Bachem
ArXivPDFHTML

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

50 / 270 papers shown
Title
Evolving Connectivity for Recurrent Spiking Neural Networks
Evolving Connectivity for Recurrent Spiking Neural Networks
Guan-Bo Wang
Yuhao Sun
Sijie Cheng
Sen Song
14
5
0
28 May 2023
Uncertain Pose Estimation during Contact Tasks using Differentiable
  Contact Features
Uncertain Pose Estimation during Contact Tasks using Differentiable Contact Features
Jeongmin Lee
Minji Lee
Dongjun Lee
22
9
0
26 May 2023
Barkour: Benchmarking Animal-level Agility with Quadruped Robots
Barkour: Benchmarking Animal-level Agility with Quadruped Robots
Ken Caluwaerts
Atil Iscen
J. Kew
Wenhao Yu
Tingnan Zhang
...
J. Seto
Carolina Parada
Vikas Sindhwani
Vincent Vanhoucke
Jie Tan
27
59
0
24 May 2023
Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep
  Reinforcement Learning
Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning
Oswin So
Chuchu Fan
17
23
0
23 May 2023
Proximal Policy Gradient Arborescence for Quality Diversity
  Reinforcement Learning
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
S. Batra
Bryon Tjanaka
Matthew C. Fontaine
Aleksei Petrenko
Stefanos Nikolaidis
Gaurav Sukhatme
OffRL
45
12
0
23 May 2023
AlpacaFarm: A Simulation Framework for Methods that Learn from Human
  Feedback
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Yann Dubois
Xuechen Li
Rohan Taori
Tianyi Zhang
Ishaan Gulrajani
Jimmy Ba
Carlos Guestrin
Percy Liang
Tatsunori B. Hashimoto
ALM
45
542
0
22 May 2023
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with
  Population Based Training
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training
Aleksei Petrenko
Arthur Allshire
Gavriel State
Ankur Handa
Viktor Makoviychuk
32
23
0
20 May 2023
Dive into the Power of Neuronal Heterogeneity
Dive into the Power of Neuronal Heterogeneity
Guobin Shen
Dongcheng Zhao
Yiting Dong
Yang Li
Yi Zeng
26
2
0
19 May 2023
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any
  Outdoor Experience
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience
Joanne Truong
April Zitkovich
Sonia Chernova
Dhruv Batra
Tingnan Zhang
Jie Tan
Wenhao Yu
LM&Ro
18
13
0
01 May 2023
Improving Gradient Computation for Differentiable Physics Simulation
  with Contacts
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
Yaofeng Desmond Zhong
Jiequn Han
Biswadip Dey
Georgia Olympia Brikis
38
3
0
28 Apr 2023
Filter-Aware Model-Predictive Control
Filter-Aware Model-Predictive Control
Baris Kayalibay
Atanas Mirchev
Ahmed Agha
Patrick van der Smagt
Justin Bayer
38
0
0
20 Apr 2023
Local object crop collision network for efficient simulation of
  non-convex objects in GPU-based simulators
Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators
Dongwon Son
Beomjoon Kim
13
4
0
19 Apr 2023
Contact Models in Robotics: a Comparative Analysis
Contact Models in Robotics: a Comparative Analysis
Quentin Le Lidec
Wilson Jallet
Louis Montaut
Ivan Laptev
Cordelia Schmid
Justin Carpentier
33
28
0
13 Apr 2023
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box
  Optimization
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization
R. T. Lange
Tom Schaul
Yutian Chen
Chris Xiaoxuan Lu
Tom Zahavy
Valentin Dalibard
Sebastian Flennerhag
32
34
0
08 Apr 2023
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of
  Quality-Diversity Solutions in Uncertain Domains
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
Luca Grillotti
Manon Flageat
Bryan Lim
Antoine Cully
45
8
0
07 Apr 2023
DiffMimic: Efficient Motion Mimicking with Differentiable Physics
DiffMimic: Efficient Motion Mimicking with Differentiable Physics
Jiawei Ren
Cunjun Yu
Siwei Chen
Xiao Ma
Liang Pan
Ziwei Liu
28
19
0
06 Apr 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement
  Learning
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
Sotetsu Koyamada
Shinri Okano
Soichiro Nishimori
Y. Murata
Keigo Habara
Haruka Kita
Shin Ishii
19
24
0
29 Mar 2023
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
Isabella Huang
Yashraj S. Narang
R. Bajcsy
Fabio Ramos
Tucker Hermans
D. Fox
20
10
0
28 Mar 2023
The Quality-Diversity Transformer: Generating Behavior-Conditioned
  Trajectories with Decision Transformers
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
Valentin Macé
Raphael Boige
Félix Chalumeau
Thomas Pierrot
Guillaume Richard
Nicolas Perrin-Gilbert
OffRL
34
12
0
27 Mar 2023
DexDeform: Dexterous Deformable Object Manipulation with Human
  Demonstrations and Differentiable Physics
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
Sizhe Li
Zhiao Huang
Tao Chen
Tao Du
Hao Su
J. Tenenbaum
Chuang Gan
80
19
0
27 Mar 2023
Going faster to see further: GPU-accelerated value iteration and
  simulation for perishable inventory control using JAX
Going faster to see further: GPU-accelerated value iteration and simulation for perishable inventory control using JAX
Joseph Farrington
Kezhi Li
Wai Keong Wong
Martin Utley
20
1
0
19 Mar 2023
Understanding the Synergies between Quality-Diversity and Deep
  Reinforcement Learning
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
Bryan Lim
Manon Flageat
Antoine Cully
OnRL
28
7
0
10 Mar 2023
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Manon Flageat
Bryan Lim
Antoine Cully
19
2
0
10 Mar 2023
Evolving Populations of Diverse RL Agents with MAP-Elites
Evolving Populations of Diverse RL Agents with MAP-Elites
Thomas Pierrot
Arthur Flajolet
30
8
0
09 Mar 2023
Diminishing Return of Value Expansion Methods in Model-Based
  Reinforcement Learning
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
Daniel Palenicek
M. Lutter
João Carvalho
Jan Peters
26
4
0
07 Mar 2023
MAP-Elites with Descriptor-Conditioned Gradients and Archive
  Distillation into a Single Policy
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy
Maxence Faldor
Félix Chalumeau
Manon Flageat
Antoine Cully
35
18
0
07 Mar 2023
Nature's Cost Function: Simulating Physics by Minimizing the Action
Nature's Cost Function: Simulating Physics by Minimizing the Action
Tim Strang
Isabella Caruso
S. Greydanus
19
3
0
03 Mar 2023
Improving the Data Efficiency of Multi-Objective Quality-Diversity
  through Gradient Assistance and Crowding Exploration
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Hannah Janmohamed
Thomas Pierrot
Antoine Cully
21
5
0
24 Feb 2023
EvoTorch: Scalable Evolutionary Computation in Python
EvoTorch: Scalable Evolutionary Computation in Python
N. E. Toklu
Timothy James Atkinson
Vojtvech Micka
Paweł Liskowski
R. Srivastava
14
12
0
24 Feb 2023
Variational Integrators and Graph-Based Solvers for Multibody Dynamics
  in Maximal Coordinates
Variational Integrators and Graph-Based Solvers for Multibody Dynamics in Maximal Coordinates
Jan Brüdigam
Stefan Sosnowski
Zachary Manchester
Sandra Hirche
AI4CE
11
3
0
12 Feb 2023
Learning to Optimize for Reinforcement Learning
Learning to Optimize for Reinforcement Learning
Qingfeng Lan
Rupam Mahmood
Shuicheng Yan
Zhongwen Xu
OffRL
26
6
0
03 Feb 2023
Uncertain Quality-Diversity: Evaluation methodology and new methods for
  Quality-Diversity in Uncertain Domains
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains
Manon Flageat
Antoine Cully
11
15
0
01 Feb 2023
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree
  Search
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search
Gal Dalal
Assaf Hallak
Gugan Thoppe
Shie Mannor
Gal Chechik
29
3
0
30 Jan 2023
Operator Fusion in XLA: Analysis and Evaluation
Operator Fusion in XLA: Analysis and Evaluation
Danielle Snider
Ruofan Liang
21
4
0
30 Jan 2023
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary
  Computation
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
Beichen Huang
Ran Cheng
Zhuozhao Li
Yaochu Jin
Kay Chen Tan
8
26
0
29 Jan 2023
Differentiable Forward Kinematics for TensorFlow 2
Differentiable Forward Kinematics for TensorFlow 2
Lukas Mölschl
Jakob J. Hollenstein
J. Piater
20
0
0
24 Jan 2023
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for
  Robotics Applications
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications
Jeonghoon Lee
M. Michelis
Robert K. Katzschmann
Zachary Manchester
24
4
0
17 Jan 2023
Hyperparameters in Contextual RL are Highly Situational
Hyperparameters in Contextual RL are Highly Situational
Theresa Eimer
C. Benjamins
Marius Lindauer
26
4
0
21 Dec 2022
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for
  Approximating Reynolds-Averaged Navier-Stokes Solutions
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions
F. Bonnet
Jocelyn Ahmed Mazari
Paola Cinnella
Patrick Gallinari
AI4CE
33
54
0
15 Dec 2022
Real-time Sampling-based Model Predictive Control based on Reverse
  Kullback-Leibler Divergence and Its Adaptive Acceleration
Real-time Sampling-based Model Predictive Control based on Reverse Kullback-Leibler Divergence and Its Adaptive Acceleration
Taisuke Kobayashi
Kota Fukumoto
18
4
0
08 Dec 2022
evosax: JAX-based Evolution Strategies
evosax: JAX-based Evolution Strategies
R. T. Lange
30
54
0
08 Dec 2022
A System for Morphology-Task Generalization via Unified Representation
  and Behavior Distillation
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
Hiroki Furuta
Yusuke Iwasawa
Yutaka Matsuo
S. Gu
18
14
0
25 Nov 2022
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in
  Hard Exploration Problems
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems
Félix Chalumeau
Thomas Pierrot
Valentin Macé
Arthur Flajolet
Karim Beguir
Antoine Cully
Nicolas Perrin-Gilbert
17
7
0
24 Nov 2022
Actively Learning Costly Reward Functions for Reinforcement Learning
Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard
Houssam Metni
G. Fahland
A. Stroh
Pascal Friederich
OffRL
35
0
0
23 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Bryan Lim
Manon Flageat
Antoine Cully
23
4
0
22 Nov 2022
Discovering Evolution Strategies via Meta-Black-Box Optimization
Discovering Evolution Strategies via Meta-Black-Box Optimization
R. T. Lange
Tom Schaul
Yutian Chen
Tom Zahavy
Valenti Dallibard
Chris Xiaoxuan Lu
Satinder Singh
Sebastian Flennerhag
44
47
0
21 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
29
29
0
18 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up
VeLO: Training Versatile Learned Optimizers by Scaling Up
Luke Metz
James Harrison
C. Freeman
Amil Merchant
Lucas Beyer
...
Naman Agrawal
Ben Poole
Igor Mordatch
Adam Roberts
Jascha Narain Sohl-Dickstein
29
60
0
17 Nov 2022
General Intelligence Requires Rethinking Exploration
General Intelligence Requires Rethinking Exploration
Minqi Jiang
Tim Rocktaschel
Edward Grefenstette
LRM
29
17
0
15 Nov 2022
On the importance of data collection for training general goal-reaching
  policies
On the importance of data collection for training general goal-reaching policies
Alexis Jacq
Manu Orsini
Gabriel Dulac-Arnold
Olivier Pietquin
M. Geist
Olivier Bachem
OffRL
30
1
0
07 Nov 2022
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