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Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning
  Platform

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform

29 September 2023
Shengyi Huang
Jiayi Weng
Rujikorn Charakorn
Min Lin
Zhongwen Xu
Santiago Ontañón
ArXiv (abs)PDFHTMLGithub (112★)

Papers citing "Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform"

14 / 14 papers shown
Title
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
Michael Noukhovitch
Shengyi Huang
Sophie Xhonneux
Arian Hosseini
Rishabh Agarwal
Rameswar Panda
OffRL
138
11
0
23 Oct 2024
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
118
673
0
30 Aug 2021
Podracer architectures for scalable Reinforcement Learning
Podracer architectures for scalable Reinforcement Learning
Matteo Hessel
M. Kroiss
Aidan Clark
Iurii Kemaev
John Quan
Thomas Keck
Fabio Viola
H. V. Hasselt
54
39
0
13 Apr 2021
High-Throughput Synchronous Deep RL
High-Throughput Synchronous Deep RL
Iou-Jen Liu
Raymond A. Yeh
Alex Schwing
OffRL
47
12
0
17 Dec 2020
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion
  Frames
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
Erik Wijmans
Abhishek Kadian
Ari S. Morcos
Stefan Lee
Irfan Essa
Devi Parikh
Manolis Savva
Dhruv Batra
85
484
0
01 Nov 2019
An Empirical Model of Large-Batch Training
An Empirical Model of Large-Batch Training
Sam McCandlish
Jared Kaplan
Dario Amodei
OpenAI Dota Team
67
278
0
14 Dec 2018
Accelerated Methods for Deep Reinforcement Learning
Accelerated Methods for Deep Reinforcement Learning
Adam Stooke
Pieter Abbeel
OffRLOnRL
59
136
0
07 Mar 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
149
741
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
222
1,605
0
05 Feb 2018
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
118
1,961
0
19 Sep 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
523
19,237
0
20 Jul 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
202
8,875
0
04 Feb 2016
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
104
3,434
0
08 Jun 2015
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
120
3,020
0
19 Jul 2012
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