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Reverb: A Framework For Experience Replay

Reverb: A Framework For Experience Replay

9 February 2021
Albin Cassirer
Gabriel Barth-Maron
E. Brevdo
Sabela Ramos
Toby Boyd
Thibault Sottiaux
M. Kroiss
    VLM
    OffRL
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Papers citing "Reverb: A Framework For Experience Replay"

9 / 9 papers shown
Title
Bad Students Make Great Teachers: Active Learning Accelerates
  Large-Scale Visual Understanding
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding
Talfan Evans
Shreya Pathak
Hamza Merzic
Jonathan Schwarz
Ryutaro Tanno
Olivier J. Hénaff
18
16
0
08 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
32
1
0
08 Oct 2023
Zero-Shot Transfer of Haptics-Based Object Insertion Policies
Zero-Shot Transfer of Haptics-Based Object Insertion Policies
Samarth Brahmbhatt
A. Deka
Andrew Spielberg
M. Muller
9
5
0
29 Jan 2023
A Mixture of Surprises for Unsupervised Reinforcement Learning
A Mixture of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao
Matthieu Lin
Yangguang Li
Yong-Jin Liu
Gao Huang
28
13
0
13 Oct 2022
Phantom -- A RL-driven multi-agent framework to model complex systems
Phantom -- A RL-driven multi-agent framework to model complex systems
Leo Ardon
Jared Vann
Deepeka Garg
Thomas Spooner
Sumitra Ganesh
27
7
0
12 Oct 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and
  Flexible Blackbox Optimization
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
Xingyou Song
Sagi Perel
Chansoo Lee
Greg Kochanski
Daniel Golovin
31
26
0
27 Jul 2022
Learning Robust Real-Time Cultural Transmission without Human Data
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural General Intelligence Team
Avishkar Bhoopchand
Bethanie Brownfield
Adrian Collister
Agustin Dal Lago
...
Alex Platonov
Evan Senter
Sukhdeep Singh
Alexander Zacherl
Lei M. Zhang
VLM
42
11
0
01 Mar 2022
Evaluating model-based planning and planner amortization for continuous
  control
Evaluating model-based planning and planner amortization for continuous control
Arunkumar Byravan
Leonard Hasenclever
Piotr Trochim
M. Berk Mirza
Alessandro Davide Ialongo
...
Jost Tobias Springenberg
A. Abdolmaleki
N. Heess
J. Merel
Martin Riedmiller
55
17
0
07 Oct 2021
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
54
225
0
01 Jun 2020
1