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Acme: A Research Framework for Distributed Reinforcement Learning

Acme: A Research Framework for Distributed Reinforcement Learning

1 June 2020
Matthew W. Hoffman
Bobak Shahriari
John Aslanides
Gabriel Barth-Maron
Nikola Momchev
Danila Sinopalnikov
Piotr Stańczyk
Sabela Ramos
Anton Raichuk
Damien Vincent
Léonard Hussenot
Robert Dadashi
Gabriel Dulac-Arnold
Manu Orsini
Alexis Jacq
Johan Ferret
Nino Vieillard
Seyed Kamyar Seyed Ghasemipour
Sertan Girgin
Olivier Pietquin
Feryal M. P. Behbahani
Tamara Norman
A. Abdolmaleki
Albin Cassirer
Fan Yang
Kate Baumli
Sarah Henderson
Abe Friesen
Ruba Haroun
Alexander Novikov
Sergio Gomez Colmenarejo
Serkan Cabi
Çağlar Gülçehre
T. Paine
Srivatsan Srinivasan
A. Cowie
Ziyun Wang
Bilal Piot
Nando de Freitas
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Papers citing "Acme: A Research Framework for Distributed Reinforcement Learning"

14 / 64 papers shown
Title
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body
  Simulation
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
C. Freeman
Erik Frey
Anton Raichuk
Sertan Girgin
Igor Mordatch
Olivier Bachem
48
350
0
24 Jun 2021
What Matters for Adversarial Imitation Learning?
What Matters for Adversarial Imitation Learning?
Manu Orsini
Anton Raichuk
Léonard Hussenot
Damien Vincent
Robert Dadashi
Sertan Girgin
M. Geist
Olivier Bachem
Olivier Pietquin
Marcin Andrychowicz
42
77
0
01 Jun 2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation
On Instrumental Variable Regression for Deep Offline Policy Evaluation
Yutian Chen
Liyuan Xu
Çağlar Gülçehre
T. Paine
A. Gretton
Nando de Freitas
Arnaud Doucet
OffRL
39
18
0
21 May 2021
Benchmarks for Deep Off-Policy Evaluation
Benchmarks for Deep Off-Policy Evaluation
Justin Fu
Mohammad Norouzi
Ofir Nachum
George Tucker
Ziyun Wang
...
Yutian Chen
Aviral Kumar
Cosmin Paduraru
Sergey Levine
T. Paine
ELM
OffRL
35
100
0
30 Mar 2021
Regularized Behavior Value Estimation
Regularized Behavior Value Estimation
Çağlar Gülçehre
Sergio Gomez Colmenarejo
Ziyun Wang
Jakub Sygnowski
T. Paine
Konrad Zolna
Yutian Chen
Matthew W. Hoffman
Razvan Pascanu
Nando de Freitas
OffRL
23
37
0
17 Mar 2021
Reverb: A Framework For Experience Replay
Reverb: A Framework For Experience Replay
Albin Cassirer
Gabriel Barth-Maron
E. Brevdo
Sabela Ramos
Toby Boyd
Thibault Sottiaux
M. Kroiss
VLM
OffRL
21
38
0
09 Feb 2021
Semi-supervised reward learning for offline reinforcement learning
Semi-supervised reward learning for offline reinforcement learning
Ksenia Konyushkova
Konrad Zolna
Y. Aytar
Alexander Novikov
Scott E. Reed
Serkan Cabi
Nando de Freitas
SSL
OffRL
68
23
0
12 Dec 2020
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
Peng Sun
Jiechao Xiong
Lei Han
Xinghai Sun
Shuxing Li
Jiawei Xu
Meng Fang
Zhengyou Zhang
OffRL
LRM
25
19
0
25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang
Zhanghao Wu
Michael Luo
Sven Mika
Joseph E. Gonzalez
Ion Stoica
AI4CE
21
9
0
25 Nov 2020
Critic Regularized Regression
Critic Regularized Regression
Ziyun Wang
Alexander Novikov
Konrad Zolna
Jost Tobias Springenberg
Scott E. Reed
...
Noah Y. Siegel
J. Merel
Çağlar Gülçehre
N. Heess
Nando de Freitas
OffRL
36
317
0
26 Jun 2020
Primal Wasserstein Imitation Learning
Primal Wasserstein Imitation Learning
Robert Dadashi
Léonard Hussenot
M. Geist
Olivier Pietquin
18
124
0
08 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
52
771
0
19 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
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