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Ray: A Distributed Framework for Emerging AI Applications
v1v2 (latest)

Ray: A Distributed Framework for Emerging AI Applications

16 December 2017
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
Eric Liang
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
    GNN
ArXiv (abs)PDFHTML

Papers citing "Ray: A Distributed Framework for Emerging AI Applications"

50 / 495 papers shown
Title
Efficient Reinforcement Learning Development with RLzoo
Efficient Reinforcement Learning Development with RLzoo
Zihan Ding
Tianyang Yu
Yanhua Huang
Hongming Zhang
Guo Li
Quancheng Guo
Kai Zou
Hao Dong
OffRLOnRL
25
6
0
18 Sep 2020
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light
  Control in the IoV
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV
Pengyuan Zhou
Xianfu Chen
Zhi Liu
Tristan Braud
Pan Hui
J. Kangasharju
36
54
0
03 Sep 2020
OR-Gym: A Reinforcement Learning Library for Operations Research
  Problems
OR-Gym: A Reinforcement Learning Library for Operations Research Problems
Christian D. Hubbs
Hector D. Perez
Owais Sarwar
N. Sahinidis
I. Grossmann
J. Wassick
OffRLAI4CE
62
74
0
14 Aug 2020
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in
  Intensive Care Units
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
linda Qiao
Yanbo Xu
Alind Khare
Satria Priambada
K. Maher
Alaa Aljiffry
Jimeng Sun
Alexey Tumanov
OOD
66
90
0
10 Aug 2020
A Survey on Large-scale Machine Learning
A Survey on Large-scale Machine Learning
Meng Wang
Weijie Fu
Xiangnan He
Shijie Hao
Xindong Wu
84
112
0
10 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement
  Learning
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
J. Blumenkamp
Amanda Prorok
AAMLAI4CE
96
59
0
06 Aug 2020
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy
  Evolution
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
N. E. Toklu
Paweł Liskowski
R. Srivastava
52
11
0
05 Aug 2020
Queueing Network Controls via Deep Reinforcement Learning
Queueing Network Controls via Deep Reinforcement Learning
J. Dai
Mark O. Gluzman
OffRL
123
51
0
31 Jul 2020
Flower: A Friendly Federated Learning Research Framework
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel
Taner Topal
Akhil Mathur
Xinchi Qiu
Javier Fernandez-Marques
...
Lorenzo Sani
Kwing Hei Li
Titouan Parcollet
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
142
825
0
28 Jul 2020
HeAT -- a Distributed and GPU-accelerated Tensor Framework for Data
  Analytics
HeAT -- a Distributed and GPU-accelerated Tensor Framework for Data Analytics
Markus Goetz
D. Coquelin
Charlotte Debus
K. Krajsek
C. Comito
...
Michael Tarnawa
Simon Hanselmann
M. Siggel
A. Basermann
Achim Streit
22
9
0
27 Jul 2020
High Performance Data Engineering Everywhere
High Performance Data Engineering Everywhere
Chathura Widanage
Niranda Perera
V. Abeykoon
Supun Kamburugamuve
Thejaka Amila Kanewala
Hasara Maithree
P. Wickramasinghe
A. Uyar
Gurhan Gunduz
Geoffrey C. Fox
30
18
0
19 Jul 2020
Enable an Open Software Defined Mobility Ecosystem through VEC-OF
Enable an Open Software Defined Mobility Ecosystem through VEC-OF
Sanchu Han
Yong He
Yin Ding
11
4
0
08 Jul 2020
Integrating Distributed Architectures in Highly Modular RL Libraries
Integrating Distributed Architectures in Highly Modular RL Libraries
Albert Bou
Sebastian Dittert
Gianni De Fabritiis
54
0
0
06 Jul 2020
Enhancing SAT solvers with glue variable predictions
Enhancing SAT solvers with glue variable predictions
Jesse Michael Han
NAIAAML
89
14
0
06 Jul 2020
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage
  Trees
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees
Ahnjae Shin
Do Yoon Kim
Joo Seong Jeong
Byung-Gon Chun
50
4
0
22 Jun 2020
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
Aleksei Petrenko
Zhehui Huang
T. Kumar
Gaurav Sukhatme
V. Koltun
103
105
0
21 Jun 2020
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash
  Equilibria in Large Games
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Stephen Marcus McAleer
John Lanier
Roy Fox
Pierre Baldi
63
77
0
15 Jun 2020
GIPFA: Generating IPA Pronunciation from Audio
GIPFA: Generating IPA Pronunciation from Audio
Xavier Marjou
23
2
0
13 Jun 2020
TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive
  Midpoint Adaptations in Cartesian Space
TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space
Jonas C. Kiemel
Pascal Meissner
Torsten Kröger
43
6
0
05 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman
Bobak Shahriari
John Aslanides
Gabriel Barth-Maron
Nikola Momchev
...
Srivatsan Srinivasan
A. Cowie
Ziyun Wang
Bilal Piot
Nando de Freitas
143
226
0
01 Jun 2020
TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded
  Jerk, Acceleration and Velocity in Joint Space
TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space
Jonas C. Kiemel
Robin Weitemeyer
Pascal Meissner
Torsten Kröger
TTA
40
3
0
30 May 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying
  Environments
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
Sindhu Padakandla
75
153
0
19 May 2020
Learning Composable Energy Surrogates for PDE Order Reduction
Learning Composable Energy Surrogates for PDE Order Reduction
Alex Beatson
Jordan T. Ash
Geoffrey Roeder
Tianju Xue
Ryan P. Adams
AI4CE
66
15
0
13 May 2020
AutoCLINT: The Winning Method in AutoCV Challenge 2019
AutoCLINT: The Winning Method in AutoCV Challenge 2019
Woonhyuk Baek
Ildoo Kim
Sungwoong Kim
Sungbin Lim
47
2
0
09 May 2020
Qd-tree: Learning Data Layouts for Big Data Analytics
Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang
Badrish Chandramouli
Chi Wang
J. Gehrke
Yinan Li
U. F. Minhas
P. Larson
Donald Kossmann
R. Acharya
70
94
0
22 Apr 2020
A non-cooperative meta-modeling game for automated third-party
  calibrating, validating, and falsifying constitutive laws with parallelized
  adversarial attacks
A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks
Kun Wang
WaiChing Sun
Q. Du
44
23
0
13 Apr 2020
Deep-Edge: An Efficient Framework for Deep Learning Model Update on
  Heterogeneous Edge
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge
Anirban Bhattacharjee
A. Chhokra
Hongyang Sun
Shashank Shekhar
A. Gokhale
G. Karsai
A. Dubey
33
8
0
13 Apr 2020
The Collection Virtual Machine: An Abstraction for Multi-Frontend
  Multi-Backend Data Analysis
The Collection Virtual Machine: An Abstraction for Multi-Frontend Multi-Backend Data Analysis
Ingo Müller
Renato Marroquín
D. Koutsoukos
Mike Wawrzoniak
Sabir Akhadov
Gustavo Alonso
129
13
0
04 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell
Jia Deng
SSL
70
139
0
31 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for
  Reinforcement Learning and Population-Based Methods
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
Jiale Zhi
Rui Wang
Jeff Clune
Kenneth O. Stanley
OffRL
72
12
0
25 Mar 2020
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous
  Separation Assurance
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance
Marc Brittain
Xuxi Yang
Peng Wei
29
19
0
17 Mar 2020
Machine Learning on Volatile Instances
Machine Learning on Volatile Instances
Xiaoxi Zhang
Jianyu Wang
Gauri Joshi
Carlee Joe-Wong
56
25
0
12 Mar 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep
  Reinforcement Learning
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
Qijing Huang
Ameer Haj-Ali
William S. Moses
J. Xiang
Ion Stoica
Krste Asanović
J. Wawrzynek
58
60
0
02 Mar 2020
Learning Scalable Multi-Agent Coordination by Spatial Differentiation
  for Traffic Signal Control
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal Control
Junjia Liu
Huimin Zhang
Zhuang Fu
Yao Wang
29
2
0
27 Feb 2020
Provable Meta-Learning of Linear Representations
Provable Meta-Learning of Linear Representations
Nilesh Tripuraneni
Chi Jin
Michael I. Jordan
OOD
149
192
0
26 Feb 2020
Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing
Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing
Simon Shillaker
Peter R. Pietzuch
86
286
0
21 Feb 2020
Accelerating Reinforcement Learning with a
  Directional-Gaussian-Smoothing Evolution Strategy
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy
Jiaxing Zhang
Hoang Tran
Guannan Zhang
68
9
0
21 Feb 2020
Hoplite: Efficient and Fault-Tolerant Collective Communication for
  Task-Based Distributed Systems
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems
Siyuan Zhuang
Zhuohan Li
Danyang Zhuo
Stephanie Wang
Eric Liang
Robert Nishihara
Philipp Moritz
Ion Stoica
40
23
0
13 Feb 2020
A Novel Evolution Strategy with Directional Gaussian Smoothing for
  Blackbox Optimization
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization
Jiaxin Zhang
Hoang Tran
Dan Lu
Guannan Zhang
87
17
0
07 Feb 2020
Effective Diversity in Population Based Reinforcement Learning
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
128
165
0
03 Feb 2020
Neural MMO v1.3: A Massively Multiagent Game Environment for Training
  and Evaluating Neural Networks
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks
Joseph Suárez
Yilun Du
Igor Mordatch
Phillip Isola
AI4CE
65
6
0
31 Jan 2020
Cloudburst: Stateful Functions-as-a-Service
Cloudburst: Stateful Functions-as-a-Service
Vikram Sreekanti
Chenggang Wu
X. Lin
Johann Schleier-Smith
Jose M. Faleiro
Joseph E. Gonzalez
J. M. Hellerstein
Alexey Tumanov
59
139
0
14 Jan 2020
MushroomRL: Simplifying Reinforcement Learning Research
MushroomRL: Simplifying Reinforcement Learning Research
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
OffRL
55
85
0
04 Jan 2020
A Framework for Democratizing AI
A Framework for Democratizing AI
Shakkeel Ahmed
Ravi Mula
S. Dhavala
43
9
0
01 Jan 2020
Ripple: A Practical Declarative Programming Framework for Serverless
  Compute
Ripple: A Practical Declarative Programming Framework for Serverless Compute
Shannon Joyner
M. MacCoss
Christina Delimitrou
Hakim Weatherspoon
44
18
0
01 Jan 2020
Archipelago: A Scalable Low-Latency Serverless Platform
Archipelago: A Scalable Low-Latency Serverless Platform
Arjun Singhvi
Kevin Houck
Arjun Balasubramanian
Mohammed Danish Shaikh
Shivaram Venkataraman
Aditya Akella
31
45
0
22 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation
  with Sim2Real Reinforcement Learning
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji
S. Mallya
Sahika Genc
Saurabh Gupta
Leo Dirac
...
Yunzhe Tao
Brian Townsend
E. Calleja
Sunil Muralidhara
Dhanasekar Karuppasamy
75
57
0
05 Nov 2019
Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks
Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks
Davit Buniatyan
GNN
39
5
0
16 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT
  Applications: A Taxonomy and Survey
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey
Bin Qian
Jie Su
Z. Wen
D. N. Jha
Yinhao Li
...
Albert Y. Zomaya
Omer F. Rana
Lizhe Wang
Maciej Koutny
R. Ranjan
56
4
0
11 Oct 2019
Running Alchemist on Cray XC and CS Series Supercomputers: Dask and
  PySpark Interfaces, Deployment Options, and Data Transfer Times
Running Alchemist on Cray XC and CS Series Supercomputers: Dask and PySpark Interfaces, Deployment Options, and Data Transfer Times
Kai Rothauge
Haripriya Ayyalasomayajula
K. Maschhoff
Michael F. Ringenburg
Michael W. Mahoney
MoE
13
1
0
03 Oct 2019
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