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1802.04181
Cited By
State Representation Learning for Control: An Overview
12 February 2018
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
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Papers citing
"State Representation Learning for Control: An Overview"
50 / 158 papers shown
Title
Reinforcement Learning with Neural Radiance Fields
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Ingmar Schubert
Peter R. Florence
Yunzhu Li
Marc Toussaint
AI4CE
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03 Jun 2022
CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks
A. Pak
Hemanth Manjunatha
Dimitar Filev
Panagiotis Tsiotras
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18 May 2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning
Han Wang
Erfan Miahi
Martha White
Marlos C. Machado
Zaheer Abbas
Raksha Kumaraswamy
Vincent Liu
Adam White
25
26
0
30 Mar 2022
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach
J. Pan
Jingwei Huang
G. Cheng
Yong Zeng
AI4CE
24
40
0
19 Mar 2022
Multiscale Sensor Fusion and Continuous Control with Neural CDEs
Sumeet Singh
Francis McCann Ramirez
Jacob Varley
Andy Zeng
Vikas Sindhwani
49
3
0
16 Mar 2022
Factored World Models for Zero-Shot Generalization in Robotic Manipulation
Ondrej Biza
Thomas Kipf
David M. Klee
Robert W. Platt
Jan-Willem van de Meent
Lawson L. S. Wong
LM&Ro
19
9
0
10 Feb 2022
Excavation Reinforcement Learning Using Geometric Representation
Qingkai Lu
Yifan Zhu
Liangjun Zhang
16
17
0
27 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy
Hyunsung Lee
19
1
0
18 Jan 2022
Adaptation through prediction: multisensory active inference torque control
Cristian Meo
Giovanni Franzese
Corrado Pezzato
Max Spahn
Pablo Lanillos
28
11
0
13 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
45
34
0
07 Dec 2021
Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning
Shitao Xiao
V. Subramanian
29
9
0
25 Oct 2021
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulator
Sirui Chen
Yunhao Liu
Jialong Li
Shang Wen Yao
Tingxiang Fan
Jia Pan
AI4CE
29
10
0
24 Oct 2021
A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving
Guan-Bo Wang
Haoyi Niu
Desheng Zhu
Jianming Hu
Xianyuan Zhan
Guyue Zhou
OffRL
24
2
0
22 Oct 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints
Erdun Gao
Chaochao Lu
Liu Leqi
José Miguel Hernández-Lobato
Clark Glymour
Bernhard Schölkopf
Kun Zhang
56
32
0
12 Oct 2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
Miguel Vasco
Hang Yin
Francisco S. Melo
Ana Paiva
34
7
0
07 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
24
2
0
02 Oct 2021
Exploratory State Representation Learning
Astrid Merckling
Nicolas Perrin-Gilbert
Alexandre Coninx
Stéphane Doncieux
OffRL
51
6
0
28 Sep 2021
POAR: Efficient Policy Optimization via Online Abstract State Representation Learning
Zhaorun Chen
Siqi Fan
Yuan Tan
Liang Gong
Binhao Chen
Te Sun
David Filliat
Natalia Díaz Rodríguez
Chengliang Liu
OffRL
38
0
0
17 Sep 2021
OHPL: One-shot Hand-eye Policy Learner
Changjae Oh
Yik Lung Pang
Andrea Cavallaro
25
0
0
06 Aug 2021
Pixyz: a Python library for developing deep generative models
Masahiro Suzuki
T. Kaneko
Y. Matsuo
AI4CE
31
2
0
28 Jul 2021
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics
N. Botteghi
M. Poel
B. Sirmaçek
C. Brune
24
3
0
04 Jul 2021
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces
N. Botteghi
K. Alaa
M. Poel
B. Sirmaçek
C. Brune
A. Mersha
Stefano Stramigioli
SSL
8
11
0
04 Jul 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
26
39
0
14 Jun 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto
David Meger
Doina Precup
8
16
0
12 Jun 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms
Guanya Shi
Kamyar Azizzadenesheli
Michael O'Connell
Soon-Jo Chung
Yisong Yue
29
41
0
11 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer
Nitarshan Rajkumar
Michael Noukhovitch
Ankesh Anand
Laurent Charlin
Devon Hjelm
Philip Bachman
Aaron Courville
OffRL
47
114
0
09 Jun 2021
Continual Learning in Deep Networks: an Analysis of the Last Layer
Timothée Lesort
Thomas George
Irina Rish
KELM
32
22
0
03 Jun 2021
Provable Representation Learning for Imitation with Contrastive Fourier Features
Ofir Nachum
Mengjiao Yang
SSL
OffRL
30
39
0
26 May 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL
K. Akuzawa
Yusuke Iwasawa
Y. Matsuo
13
4
0
14 May 2021
Explainable Autonomous Robots: A Survey and Perspective
Tatsuya Sakai
Takayuki Nagai
20
67
0
06 May 2021
Cloth Manipulation Planning on Basis of Mesh Representations with Incomplete Domain Knowledge and Voxel-to-Mesh Estimation
S. Arnold
Daisuke Tanaka
Kimitoshi Yamazaki
22
4
0
15 Mar 2021
Multimodal VAE Active Inference Controller
Cristian Meo
Pablo Lanillos
23
24
0
07 Mar 2021
Learning a State Representation and Navigation in Cluttered and Dynamic Environments
David Hoeller
Lorenz Wellhausen
Farbod Farshidian
Marco Hutter
SSL
27
72
0
07 Mar 2021
Training Larger Networks for Deep Reinforcement Learning
Keita Ota
Devesh K. Jha
Asako Kanezaki
OffRL
37
39
0
16 Feb 2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
Haoyu Xiong
Quanzhou Li
Yun-Chun Chen
Homanga Bharadhwaj
Samarth Sinha
Animesh Garg
SSL
128
93
0
18 Jan 2021
Geometric Entropic Exploration
Z. Guo
M. G. Azar
Alaa Saade
S. Thakoor
Bilal Piot
Bernardo Avila-Pires
Michal Valko
Thomas Mesnard
Tor Lattimore
Rémi Munos
38
30
0
06 Jan 2021
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation
K. Balakrishnan
Punarjay Chakravarty
Shubham Shrivastava
22
6
0
05 Jan 2021
Hierarchical principles of embodied reinforcement learning: A review
Manfred Eppe
Christian Gumbsch
Matthias Kerzel
Phuong D. H. Nguyen
Martin Volker Butz
S. Wermter
39
9
0
18 Dec 2020
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Michelle A. Lee
Matthew Tan
Yuke Zhu
Jeannette Bohg
49
25
0
01 Dec 2020
Sensorimotor representation learning for an "active self" in robots: A model survey
Phuong D. H. Nguyen
Yasmin Kim Georgie
E. Kayhan
Manfred Eppe
Verena V. Hafner
S. Wermter
19
16
0
25 Nov 2020
The Greatest Teacher, Failure is: Using Reinforcement Learning for SFC Placement Based on Availability and Energy Consumption
Guto Leoni Santos
Theo Lynn
J. Kelner
P. Endo
16
0
0
12 Oct 2020
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents
Nicola Milano
S. Nolfi
16
0
0
15 Sep 2020
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
16
279
0
15 Aug 2020
Low Dimensional State Representation Learning with Reward-shaped Priors
N. Botteghi
Ruben Obbink
D. Geijs
M. Poel
B. Sirmaçek
C. Brune
A. Mersha
Stefano Stramigioli
SSL
OffRL
19
4
0
29 Jul 2020
An Overview of Natural Language State Representation for Reinforcement Learning
Brielen Madureira
David Schlangen
OffRL
27
9
0
19 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer
Ankesh Anand
Rishab Goel
R. Devon Hjelm
Aaron Courville
Philip Bachman
41
312
0
12 Jul 2020
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Mayalen Etcheverry
Clément Moulin-Frier
Pierre-Yves Oudeyer
12
23
0
02 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
29
22
0
01 Jul 2020
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
OffRL
36
47
0
30 Jun 2020
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Abraham Frandsen
Rong Ge
13
2
0
29 Jun 2020
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