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1810.12162
Cited By
Model-Based Active Exploration
29 October 2018
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
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Papers citing
"Model-Based Active Exploration"
33 / 133 papers shown
Title
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding
Baiming Chen
Bo-wen Li
Kim Ji Eun
Ding Zhao
AAML
16
100
0
16 Sep 2020
Action and Perception as Divergence Minimization
Danijar Hafner
Pedro A. Ortega
Jimmy Ba
Thomas Parr
Karl J. Friston
N. Heess
27
52
0
03 Sep 2020
On the model-based stochastic value gradient for continuous reinforcement learning
Brandon Amos
Samuel Stanton
Denis Yarats
A. Wilson
22
71
0
28 Aug 2020
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
OffRL
36
47
0
30 Jun 2020
On the Relationship Between Active Inference and Control as Inference
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
20
61
0
23 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning
Alexander I. Cowen-Rivers
Daniel Palenicek
Vincent Moens
Mohammed Abdullah
Aivar Sootla
Jun Wang
Haitham Bou-Ammar
23
44
0
12 Jun 2020
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
33
399
0
12 May 2020
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
P. DÓro
Wojciech Ja'skowski
OffRL
30
27
0
29 Apr 2020
An Adversarial Objective for Scalable Exploration
Bernadette Bucher
Karl Schmeckpeper
Nikolai Matni
Kostas Daniilidis
23
2
0
13 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
24
169
0
10 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution
Cédric Colas
Joost Huizinga
Vashisht Madhavan
Jeff Clune
33
86
0
03 Mar 2020
Reinforcement Learning through Active Inference
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
26
69
0
28 Feb 2020
Optimistic Exploration even with a Pessimistic Initialisation
Tabish Rashid
Bei Peng
Wendelin Bohmer
Shimon Whiteson
OffRL
OnRL
11
43
0
26 Feb 2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
Sharath Chandra Raparthy
Bhairav Mehta
Florian Golemo
Liam Paull
30
8
0
18 Feb 2020
Ready Policy One: World Building Through Active Learning
Philip J. Ball
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
OffRL
32
49
0
07 Feb 2020
Information Theoretic Model Predictive Q-Learning
M. Bhardwaj
Ankur Handa
Dieter Fox
Byron Boots
35
23
0
31 Dec 2019
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
Glen Berseth
Daniel Geng
Coline Devin
Nicholas Rhinehart
Chelsea Finn
Dinesh Jayaraman
Sergey Levine
19
22
0
11 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Allan Jabri
Kyle Hsu
Benjamin Eysenbach
Abhishek Gupta
Sergey Levine
Chelsea Finn
VLM
OOD
SSL
OffRL
24
64
0
09 Dec 2019
Scaling active inference
Alexander Tschantz
Manuel Baltieri
A. Seth
Christopher L. Buckley
BDL
AI4CE
19
68
0
24 Nov 2019
Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff
Qinxun Bai
Fuxin Li
Wenyuan Xu
22
12
0
19 Nov 2019
Safe Interactive Model-Based Learning
Marco Gallieri
Seyed Sina Mirrazavi Salehian
N. E. Toklu
A. Quaglino
Jonathan Masci
Jan Koutník
Faustino J. Gomez
4
12
0
15 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Mikael Henaff
OffRL
22
31
0
01 Nov 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization
Yijia Wang
Matthias Poloczek
Daniel R. Jiang
34
3
0
21 Oct 2019
On Warm-Starting Neural Network Training
Jordan T. Ash
Ryan P. Adams
AI4CE
31
21
0
18 Oct 2019
Receding Horizon Curiosity
M. Schultheis
Boris Belousov
Hany Abdulsamad
Jan Peters
25
15
0
08 Oct 2019
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
26
143
0
19 Aug 2019
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
35
375
0
10 Jun 2019
Combating the Compounding-Error Problem with a Multi-step Model
Kavosh Asadi
Dipendra Kumar Misra
Seungchan Kim
Michel L. Littman
LRM
16
55
0
30 May 2019
Curious iLQR: Resolving Uncertainty in Model-based RL
Sarah Bechtle
Yixin Lin
Akshara Rai
Ludovic Righetti
Franziska Meier
16
34
0
15 Apr 2019
World Discovery Models
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Jean-Bastien Grill
Florent Altché
Rémi Munos
21
26
0
20 Feb 2019
Improving Model-Based Control and Active Exploration with Reconstruction Uncertainty Optimization
Norman Di Palo
Harri Valpola
9
3
0
10 Dec 2018
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Kashyap Chitta
J. Álvarez
Adam Lesnikowski
BDL
UQCV
11
34
0
08 Nov 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
0
05 Dec 2016
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