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Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with
  Asynchronous Reinforcement Learning

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

21 June 2020
Aleksei Petrenko
Zhehui Huang
T. Kumar
Gaurav Sukhatme
V. Koltun
ArXivPDFHTML

Papers citing "Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning"

24 / 24 papers shown
Title
CaRL: Learning Scalable Planning Policies with Simple Rewards
CaRL: Learning Scalable Planning Policies with Simple Rewards
Bernhard Jaeger
D. Dauner
Jens Beißwenger
Simon Gerstenecker
Kashyap Chitta
Andreas Geiger
60
1
0
24 Apr 2025
Adaptive Data Exploitation in Deep Reinforcement Learning
Adaptive Data Exploitation in Deep Reinforcement Learning
Mingqi Yuan
Bo Li
Xin Jin
Wenjun Zeng
OffRL
270
0
0
22 Jan 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
78
0
0
02 Jan 2025
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
34
2
0
08 Nov 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Anthony GX-Chen
Kenneth Marino
Rob Fergus
OCL
63
1
0
21 Aug 2024
Multi-State-Action Tokenisation in Decision Transformers for
  Multi-Discrete Action Spaces
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces
Perusha Moodley
Pramod S. Kaushik
Dhillu Thambi
Mark Trovinger
Praveen Paruchuri
Xia Hong
Benjamin Rosman
69
0
0
01 Jul 2024
Speeding up Policy Simulation in Supply Chain RL
Speeding up Policy Simulation in Supply Chain RL
Vivek Farias
Joren Gijsbrechts
Aryan I. Khojandi
Tianyi Peng
A. Zheng
49
0
0
04 Jun 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
38
26
0
19 Dec 2023
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
80
5
0
13 Dec 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement
  Learning Models
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models
Hanjing Wang
Man-Kit Sit
Cong He
Ying Wen
Weinan Zhang
Jun Wang
Yaodong Yang
Luo Mai
OffRL
VLM
42
1
0
08 Oct 2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement
  Learning with Direct Thrust Control
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
Zhehui Huang
Sumeet Batra
Tao Chen
Rahul Krupani
T. Kumar
Artem Molchanov
Aleksei Petrenko
James A. Preiss
Zhaojing Yang
Gaurav Sukhatme
26
6
0
15 Jun 2023
Reinforcement Learning with Success Induced Task Prioritization
Reinforcement Learning with Success Induced Task Prioritization
Maria Nesterova
Alexey Skrynnik
Aleksandr I. Panov
19
2
0
30 Dec 2022
On Realization of Intelligent Decision-Making in the Real World: A
  Foundation Decision Model Perspective
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
Ying Wen
Bo Liu
M. Zhou
Shufang Hou
Zhe Cao
Chenyang Le
Jingxiao Chen
Zheng Tian
Weinan Zhang
Jun Wang
AI4CE
26
10
0
24 Dec 2022
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
52
13
0
11 Oct 2022
AutoCAT: Reinforcement Learning for Automated Exploration of
  Cache-Timing Attacks
AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks
Mulong Luo
Wenjie Xiong
G. G. Lee
Yueying Li
Xiaomeng Yang
Amy Zhang
Yuandong Tian
Hsien-Hsin S. Lee
G. E. Suh
AAML
43
10
0
17 Aug 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution
  Engine
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
Jiayi Weng
Min Lin
Shengyi Huang
Bo Liu
Denys Makoviichuk
...
Yufan Song
Ting Luo
Yukun Jiang
Zhongwen Xu
Shuicheng Yan
MoE
19
61
0
21 Jun 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning
  one step closer to the real world
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky
Nathan Lichtlé
Xiaomeng Yang
Brandon Amos
Jakob N. Foerster
OffRL
43
52
0
20 Jun 2022
Fast Population-Based Reinforcement Learning on a Single Machine
Fast Population-Based Reinforcement Learning on a Single Machine
Arthur Flajolet
Claire Bizon Monroc
Karim Beguir
Thomas Pierrot
OffRL
35
10
0
17 Jun 2022
Insights From the NeurIPS 2021 NetHack Challenge
Insights From the NeurIPS 2021 NetHack Challenge
Eric Hambro
Sharada Mohanty
Dmitrii Babaev
Mi-Ra Byeon
Dipam Chakraborty
...
Dan Rothermel
Mikayel Samvelyan
Dmitry Sorokin
Maciej Sypetkowski
Michal Sypetkowski
23
19
0
22 Mar 2022
Godot Reinforcement Learning Agents
Godot Reinforcement Learning Agents
E. Beeching
Jilles Debangoye
Olivier Simonin
Christian Wolf
GP
OnRL
24
5
0
07 Dec 2021
Decentralized Control of Quadrotor Swarms with End-to-end Deep
  Reinforcement Learning
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning
Sumeet Batra
Zhehui Huang
Aleksei Petrenko
T. Kumar
Artem Molchanov
Gaurav Sukhatme
16
47
0
16 Sep 2021
Learning to Navigate Sidewalks in Outdoor Environments
Learning to Navigate Sidewalks in Outdoor Environments
Maks Sorokin
Jie Tan
Karen Liu
Sehoon Ha
26
41
0
12 Sep 2021
Large Batch Simulation for Deep Reinforcement Learning
Large Batch Simulation for Deep Reinforcement Learning
Brennan Shacklett
Erik Wijmans
Aleksei Petrenko
Manolis Savva
Dhruv Batra
V. Koltun
Kayvon Fatahalian
3DV
OffRL
AI4CE
29
26
0
12 Mar 2021
How to Train PointGoal Navigation Agents on a (Sample and Compute)
  Budget
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget
Erik Wijmans
Irfan Essa
Dhruv Batra
3DPC
30
10
0
11 Dec 2020
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