ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1801.02852
  4. Cited By
Distributed Deep Reinforcement Learning: Learn how to play Atari games
  in 21 minutes

Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes

9 January 2018
Igor Adamski
R. Adamski
T. Grel
Adam Jedrych
Kamil Kaczmarek
Henryk Michalewski
    OffRL
ArXivPDFHTML

Papers citing "Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes"

10 / 10 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
22
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
26
25
0
19 Dec 2023
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch
  Size
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Dmitry Akimov
Sergey Kolesnikov
OffRL
33
14
0
20 Nov 2022
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Non-local Policy Optimization via Diversity-regularized Collaborative
  Exploration
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration
Zhenghao Peng
Hao Sun
Bolei Zhou
15
18
0
14 Jun 2020
An empirical investigation of the challenges of real-world reinforcement
  learning
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold
Nir Levine
D. Mankowitz
Jerry Li
Cosmin Paduraru
Sven Gowal
Todd Hester
OffRL
34
120
0
24 Mar 2020
GPU-Accelerated Robotic Simulation for Distributed Reinforcement
  Learning
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Jacky Liang
Viktor Makoviychuk
Ankur Handa
N. Chentanez
Miles Macklin
Dieter Fox
AI4CE
16
182
0
12 Oct 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning
FuzzerGym: A Competitive Framework for Fuzzing and Learning
W. Drozd
Michael D. Wagner
25
32
0
19 Jul 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
15
1,572
0
05 Feb 2018
Distributed Training of Deep Neural Networks: Theoretical and Practical
  Limits of Parallel Scalability
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
J. Keuper
Franz-Josef Pfreundt
GNN
55
97
0
22 Sep 2016
1