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BYOL-Explore: Exploration by Bootstrapped Prediction

BYOL-Explore: Exploration by Bootstrapped Prediction

16 June 2022
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
Corentin Tallec
Alaa Saade
Daniele Calandriello
Jean-Bastien Grill
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
ArXiv (abs)PDFHTML

Papers citing "BYOL-Explore: Exploration by Bootstrapped Prediction"

17 / 67 papers shown
Title
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
239
3,672
0
22 Mar 2018
Revisiting the Arcade Learning Environment: Evaluation Protocols and
  Open Problems for General Agents
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado
Marc G. Bellemare
Erik Talvitie
J. Veness
Matthew J. Hausknecht
Michael Bowling
100
557
0
18 Sep 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
280
2,339
0
05 Jul 2017
Noisy Networks for Exploration
Noisy Networks for Exploration
Meire Fortunato
M. G. Azar
Bilal Piot
Jacob Menick
Ian Osband
...
Rémi Munos
Demis Hassabis
Olivier Pietquin
Charles Blundell
Shane Legg
88
897
0
30 Jun 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
111
515
0
17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRMSSL
125
2,453
0
15 May 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
111
775
0
15 Nov 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
182
1,484
0
06 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
82
1,047
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
175
7,665
0
22 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
108
855
0
31 Jul 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
603
12,745
0
11 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
259
6,791
0
03 Sep 2014
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
3,021
0
19 Jul 2012
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic
  Environments
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
Yi Sun
Faustino J. Gomez
Jürgen Schmidhuber
114
163
0
29 Mar 2011
Feature Reinforcement Learning: Part I: Unstructured MDPs
Feature Reinforcement Learning: Part I: Unstructured MDPs
Marcus Hutter
120
67
0
09 Jun 2009
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