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Efficient Parallel Methods for Deep Reinforcement Learning
v1v2 (latest)

Efficient Parallel Methods for Deep Reinforcement Learning

13 May 2017
Alfredo V. Clemente
Humberto Nicolás Castejón Martínez
A. Chandra
ArXiv (abs)PDFHTMLGithub (202★)

Papers citing "Efficient Parallel Methods for Deep Reinforcement Learning"

50 / 50 papers shown
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
Vincenzo De Paola
Riccardo Zamboni
Mirco Mutti
Marcello Restelli
494
3
0
02 May 2025
Multimodal Perception for Goal-oriented Navigation: A Survey
Multimodal Perception for Goal-oriented Navigation: A Survey
I-Tak Ieong
Hao Tang
LM&RoLRM
333
1
0
22 Apr 2025
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
Dolton Fernandes
Pramod Kaushik
Harsh Shukla
Bapi Raju Surampudi
200
0
0
08 Apr 2025
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A SurveyACM Computing Surveys (ACM CSUR), 2024
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
312
16
0
08 Nov 2024
Urban Computing for Climate and Environmental Justice: Early
  Perspectives From Two Research Initiatives
Urban Computing for Climate and Environmental Justice: Early Perspectives From Two Research Initiatives
Carolina Veiga
Ashish Sharma
Daniel de Oliveira
Marcos Lage
Fabio Miranda
AI4CE
281
2
0
06 Oct 2024
Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement
  Learning
Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning
Jinsu Kim
J. Seo
AI4CE
53
2
0
12 Sep 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
311
3
0
04 Jun 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real
  Processing-In-Memory Systems
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Kailash Gogineni
Sai Santosh Dayapule
Juan Gómez Luna
Karthikeya Gogineni
Peng Wei
Tian-Shing Lan
Mohammad Sadrosadati
Onur Mutlu
Guru Venkataramani
291
16
0
07 May 2024
Robotic Control of the Deformation of Soft Linear Objects Using Deep
  Reinforcement Learning
Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning
Mélodie Hani Daniel Zakaria
Miguel Aranda
Laurent Lequievre
S. Lengagne
J. Corrales
Y. Mezouar
AI4CE
201
10
0
08 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm
  Perspective
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedMLAAML
282
35
0
27 Nov 2023
Social Contract AI: Aligning AI Assistants with Implicit Group Norms
Social Contract AI: Aligning AI Assistants with Implicit Group Norms
Jan-Philipp Fränken
Sam Kwok
Peixuan Ye
Kanishk Gandhi
Dilip Arumugam
Jared Moore
Alex Tamkin
Tobias Gerstenberg
Noah D. Goodman
322
9
0
26 Oct 2023
A Review of Deep Reinforcement Learning in Serverless Computing:
  Function Scheduling and Resource Auto-Scaling
A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling
Amjad Yousef Majid
Eduard Marin
OffRL
150
5
0
05 Oct 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache
  Locality-aware Prioritization
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware PrioritizationIEEE International Conference on Application-Specific Systems, Architectures, and Processors (ASAP), 2023
Kailash Gogineni
Yongsheng Mei
Peng Wei
Tian-Shing Lan
Guru Venkataramani
267
14
0
31 May 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous
  Communication and Linear Function Approximation
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function ApproximationInternational Conference on Machine Learning (ICML), 2023
Yifei Min
Jiafan He
Tianhao Wang
Quanquan Gu
354
11
0
10 May 2023
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning ToolboxMachine Intelligence Research (MIR), 2022
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
222
28
0
01 Dec 2022
Long N-step Surrogate Stage Reward to Reduce Variances of Deep
  Reinforcement Learning in Complex Problems
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems
Junmin Zhong
Ruofan Wu
J. Si
LRM
104
0
0
10 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation
Scaling up Stochastic Gradient Descent for Non-convex OptimisationMachine-mediated learning (ML), 2022
S. Mohamad
H. Alamri
A. Bouchachia
223
3
0
06 Oct 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling
Offline Reinforcement Learning via High-Fidelity Generative Behavior ModelingInternational Conference on Learning Representations (ICLR), 2022
Huayu Chen
Cheng Lu
Chengyang Ying
Hang Su
Jun Zhu
DiffMOffRL
405
159
0
29 Sep 2022
MAN: Multi-Action Networks Learning
MAN: Multi-Action Networks Learning
Keqin Wang
Alison Bartsch
A. Farimani
136
4
0
19 Sep 2022
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement
  Learning: A Systematic Review
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic ReviewEngineering applications of artificial intelligence (EAAI), 2022
Fadi AlMahamid
Katarina Grolinger
164
114
0
25 Aug 2022
Rate-Constrained Remote Contextual Bandits
Rate-Constrained Remote Contextual BanditsIEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Francesco Pase
Deniz Gündüz
M. Zorzi
130
9
0
26 Apr 2022
Remote Contextual Bandits
Remote Contextual BanditsInternational Symposium on Information Theory (ISIT), 2022
Francesco Pase
Deniz Gunduz
M. Zorzi
131
5
0
10 Feb 2022
Accelerating Deep Reinforcement Learning for Digital Twin Network
  Optimization with Evolutionary Strategies
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary StrategiesIEEE/IFIP Network Operations and Management Symposium (NOMS), 2022
Carlos Güemes-Palau
Paul Almasan
Shihan Xiao
Xiangle Cheng
Xiang Shi
Pere Barlet-Ros
A. Cabellos-Aparicio
182
12
0
01 Feb 2022
Human-Level Control without Server-Grade Hardware
Human-Level Control without Server-Grade Hardware
Brett Daley
Chris Amato
BDLOffRL
67
0
0
01 Nov 2021
Parallel Actors and Learners: A Framework for Generating Scalable RL
  Implementations
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
Chi Zhang
S. Kuppannagari
Viktor Prasanna
OffRL
140
9
0
03 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
273
90
0
28 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open ChallengesIntelligence & Robotics (IR), 2021
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
275
208
0
26 Aug 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Tianshou: a Highly Modularized Deep Reinforcement Learning LibraryJournal of machine learning research (JMLR), 2021
Jiayi Weng
Huayu Chen
Dong Yan
Kaichao You
Alexis Duburcq
Minghao Zhang
Yi Su
Hang Su
Jun Zhu
NoLaOffRL
365
244
0
29 Jul 2021
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with
  Function Approximation
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation
Abhimanyu Dubey
Alex Pentland
188
28
0
08 Mar 2021
Communication Efficient Parallel Reinforcement Learning
Communication Efficient Parallel Reinforcement LearningConference on Uncertainty in Artificial Intelligence (UAI), 2021
Mridul Agarwal
Bhargav Ganguly
Vaneet Aggarwal
176
13
0
22 Feb 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Hierarchical Reinforcement Learning By Discovering Intrinsic OptionsInternational Conference on Learning Representations (ICLR), 2021
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
410
95
0
16 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based ApplicationsArtificial Intelligence Review (AIR), 2021
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Xiaoshi Zhong
OffRL
352
90
0
01 Jan 2021
TLeague: A Framework for Competitive Self-Play based Distributed
  Multi-Agent Reinforcement Learning
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
Yang Liu
Jiechao Xiong
Lei Han
Xinghai Sun
Shuxing Li
Jiawei Xu
Meng Fang
Zhengyou Zhang
OffRLLRM
314
20
0
25 Nov 2020
Distributed Deep Reinforcement Learning: An Overview
Distributed Deep Reinforcement Learning: An Overview
Mohammad Reza Samsami
Hossein Alimadad
OffRL
88
31
0
22 Nov 2020
Visual Navigation in Real-World Indoor Environments Using End-to-End
  Deep Reinforcement Learning
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning
Jonáš Kulhánek
Erik Derner
Robert Babuška
152
57
0
21 Oct 2020
Population-Guided Parallel Policy Search for Reinforcement Learning
Population-Guided Parallel Policy Search for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020
Whiyoung Jung
Giseung Park
Y. Sung
OffRL
168
41
0
09 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Youssef Attia El Hili
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRLAI4TS
351
225
0
23 Dec 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous
  Multi-Lane Driving
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane DrivingAdaptive Agents and Multi-Agent Systems (AAMAS), 2019
Rupert Mitchell
Jenny Fletcher
Jacopo Panerati
Amanda Prorok
235
17
0
26 Nov 2019
Accelerating Reinforcement Learning through GPU Atari Emulation
Accelerating Reinforcement Learning through GPU Atari Emulation
Steven Dalton
I. Frosio
M. Garland
ELM
180
9
0
19 Jul 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Gossip-based Actor-Learner Architectures for Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2019
Mahmoud Assran
Joshua Romoff
Nicolas Ballas
Joelle Pineau
Michael G. Rabbat
195
40
0
09 Jun 2019
Continual and Multi-task Reinforcement Learning With Shared Episodic
  Memory
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory
A. Sorokin
Andrey Kravchenko
KELMCLL
117
5
0
07 May 2019
DAC: The Double Actor-Critic Architecture for Learning Options
DAC: The Double Actor-Critic Architecture for Learning OptionsNeural Information Processing Systems (NeurIPS), 2019
Shangtong Zhang
Shimon Whiteson
544
84
0
29 Apr 2019
Generalized Off-Policy Actor-Critic
Generalized Off-Policy Actor-Critic
Shangtong Zhang
Wendelin Bohmer
Shimon Whiteson
OffRLCML
502
43
0
27 Mar 2019
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents
Panagiota Kiourti
Kacper Wardega
Susmit Jha
Wenchao Li
AAML
118
59
0
01 Mar 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning
QUOTA: The Quantile Option Architecture for Reinforcement Learning
Fengxiang Yang
Zhun Zhong
Shaozi Li
Sheng Lian
Shaozi Li
OffRL
274
33
0
05 Nov 2018
Guided Feature Transformation (GFT): A Neural Language Grounding Module
  for Embodied Agents
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
Haonan Yu
Xiaochen Lian
Haichao Zhang
Wenyuan Xu
LM&Ro
200
21
0
22 May 2018
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement
  Learning
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning
Wanjia Liu
Huaijin Chen
Rishab Goel
Yuzhong Huang
Ashok Veeraraghavan
Ankit B. Patel
OffRL
116
2
0
16 May 2018
Accelerated Methods for Deep Reinforcement Learning
Accelerated Methods for Deep Reinforcement Learning
Adam Stooke
Pieter Abbeel
OffRLOnRL
152
141
0
07 Mar 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience ReplayInternational Conference on Learning Representations (ICLR), 2018
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
268
795
0
02 Mar 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
731
1,753
0
05 Feb 2018
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