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Large Batch Simulation for Deep Reinforcement Learning

Large Batch Simulation for Deep Reinforcement Learning

12 March 2021
Brennan Shacklett
Erik Wijmans
Aleksei Petrenko
Manolis Savva
Dhruv Batra
V. Koltun
Kayvon Fatahalian
    3DV
    OffRL
    AI4CE
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Papers citing "Large Batch Simulation for Deep Reinforcement Learning"

17 / 17 papers shown
Title
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
20
2
0
08 Nov 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Artem Agarkov
Viacheslav Sinii
Sergey Kolesnikov
21
23
0
19 Dec 2023
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for
  Controllable Sensor Simulation
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
Jingkang Wang
S. Manivasagam
Yun Chen
Ze Yang
Ioan Andrei Bârsan
A. Yang
Wei-Chiu Ma
R. Urtasun
3DV
25
24
0
02 Nov 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at
  100k Steps-Per-Second
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second
Vincent-Pierre Berges
Andrew Szot
Devendra Singh Chaplot
Aaron Gokaslan
Roozbeh Mottaghi
Dhruv Batra
Eric Undersander
LRM
LM&Ro
14
5
0
13 Jun 2023
Investigating Navigation Strategies in the Morris Water Maze through
  Deep Reinforcement Learning
Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement Learning
A. Liu
Alla Borisyuk
8
6
0
01 Jun 2023
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in
  Embodied Rearrangement
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement
Erik Wijmans
Irfan Essa
Dhruv Batra
OffRL
26
13
0
11 Oct 2022
Simulation and application of COVID-19 compartment model using
  physics-informed neural network
Simulation and application of COVID-19 compartment model using physics-informed neural network
Jinhuan Ke
Jiahao Ma
Xiyu Yin
Robin Singh
7
0
0
04 Aug 2022
Optimizing Data Collection in Deep Reinforcement Learning
Optimizing Data Collection in Deep Reinforcement Learning
James Gleeson
Daniel Snider
Yvonne Yang
Moshe Gabel
Eyal de Lara
Gennady Pekhimenko
10
1
0
15 Jul 2022
Is Mapping Necessary for Realistic PointGoal Navigation?
Is Mapping Necessary for Realistic PointGoal Navigation?
Ruslan Partsey
Erik Wijmans
Naoki Yokoyama
Oles Dobosevych
Dhruv Batra
Oleksandr Maksymets
3DPC
15
41
0
02 Jun 2022
Zero Experience Required: Plug & Play Modular Transfer Learning for
  Semantic Visual Navigation
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation
Ziad Al-Halah
Santhosh Kumar Ramakrishnan
Kristen Grauman
VLM
23
80
0
05 Feb 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
108
535
0
24 Sep 2021
Realistic PointGoal Navigation via Auxiliary Losses and Information
  Bottleneck
Realistic PointGoal Navigation via Auxiliary Losses and Information Bottleneck
G. Grande
Dhruv Batra
Erik Wijmans
23
1
0
17 Sep 2021
Landmark Policy Optimization for Object Navigation Task
Landmark Policy Optimization for Object Navigation Task
A. Staroverov
Aleksandr I. Panov
24
0
0
17 Sep 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per
  Second
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Aleksei Petrenko
Erik Wijmans
Brennan Shacklett
V. Koltun
LM&Ro
VGen
15
21
0
17 Jul 2021
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot
Alexander William Clegg
Eric Undersander
Erik Wijmans
Yili Zhao
...
Z. Kira
V. Koltun
Jitendra Malik
Manolis Savva
Dhruv Batra
LM&Ro
19
493
0
28 Jun 2021
SAPIEN: A SimulAted Part-based Interactive ENvironment
SAPIEN: A SimulAted Part-based Interactive ENvironment
Fanbo Xiang
Yuzhe Qin
Kaichun Mo
Yikuan Xia
Hao Zhu
...
He-Nan Wang
Li Yi
Angel X. Chang
Leonidas J. Guibas
Hao Su
204
482
0
19 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
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