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Model-Based Active Exploration

Model-Based Active Exploration

29 October 2018
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
ArXivPDFHTML

Papers citing "Model-Based Active Exploration"

33 / 133 papers shown
Title
Multimodal Safety-Critical Scenarios Generation for Decision-Making
  Algorithms Evaluation
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Mikael Henaff
OffRL
22
31
0
01 Nov 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization
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
On Warm-Starting Neural Network Training
Jordan T. Ash
Ryan P. Adams
AI4CE
31
21
0
18 Oct 2019
Receding Horizon Curiosity
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 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
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
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
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
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
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
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
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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