Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1907.00953
Cited By
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
1 July 2019
Alex X. Lee
Anusha Nagabandi
Pieter Abbeel
Sergey Levine
OffRL
BDL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model"
37 / 87 papers shown
Title
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Angelos Filos
Eszter Vértes
Zita Marinho
Gregory Farquhar
Diana Borsa
A. Friesen
Feryal M. P. Behbahani
Tom Schaul
André Barreto
Simon Osindero
44
7
0
08 Dec 2021
Learning State Representations via Retracing in Reinforcement Learning
Changmin Yu
Dong Li
Jianye Hao
Jun Wang
Neil Burgess
30
7
0
24 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Dhruv Shah
Peng Xu
Yao Lu
Ted Xiao
Alexander Toshev
Sergey Levine
Brian Ichter
OffRL
37
41
0
04 Nov 2021
Self-Consistent Models and Values
Roy Miles
Kate Baumli
Zita Marinho
Angelos Filos
Matteo Hessel
Hado van Hasselt
David Silver
38
8
0
25 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
54
32
0
12 Oct 2021
Robust Predictable Control
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
32
44
0
07 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
61
639
0
30 Aug 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
OffRL
36
338
0
20 Jul 2021
Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
SSL
28
49
0
16 Jul 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
26
38
0
14 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning
Cameron Allen
Neev Parikh
Omer Gottesman
George Konidaris
BDL
OffRL
31
36
0
08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
20
46
0
08 Jun 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen
Tung M. Luu
Thang Vu
Chang D. Yoo
23
17
0
15 Mar 2021
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph
Xin Ye
Yezhou Yang
27
23
0
01 Mar 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu
Chuheng Zhang
Li Zhao
Tao Qin
Jinhua Zhu
Jian Li
Nenghai Yu
Tie-Yan Liu
SSL
OffRL
19
47
0
22 Feb 2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning
Manan Tomar
Amy Zhang
Roberto Calandra
Matthew E. Taylor
Joelle Pineau
24
24
0
19 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
222
419
0
16 Feb 2021
Towards Learning Controllable Representations of Physical Systems
Kevin Haninger
R. Vicente-Garcia
J. Krüger
31
1
0
16 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie
Dylan P. Losey
R. Tolsma
Chelsea Finn
Dorsa Sadigh
DRL
21
131
0
12 Nov 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
32
36
0
26 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
34
55
0
15 Oct 2020
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
48
819
0
05 Oct 2020
Predictive Information Accelerates Learning in RL
Kuang-Huei Lee
Ian S. Fischer
Anthony Z. Liu
Yijie Guo
Honglak Lee
John F. Canny
S. Guadarrama
23
72
0
24 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer
Ankesh Anand
Rishab Goel
R. Devon Hjelm
Aaron Courville
Philip Bachman
41
310
0
12 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
25
199
0
09 Jul 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
45
462
0
18 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie
James Harrison
Chelsea Finn
CLL
OffRL
35
64
0
18 Jun 2020
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
20
647
0
30 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
24
35
0
17 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
49
1,061
0
08 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
22
26
0
06 Apr 2020
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning
Jianyu Chen
Zhuo Xu
Masayoshi Tomizuka
BDL
30
13
0
21 Mar 2020
Probably Approximately Correct Vision-Based Planning using Motion Primitives
Sushant Veer
Anirudha Majumdar
3DV
14
21
0
28 Feb 2020
Variational Recurrent Models for Solving Partially Observable Control Tasks
Dongqi Han
Kenji Doya
Jun Tani
DRL
OffRL
21
59
0
23 Dec 2019
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura M. Smith
Nikita Dhawan
Marvin Zhang
Pieter Abbeel
Sergey Levine
41
156
0
10 Dec 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
DRL
44
439
0
02 Oct 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn
Henry Zhu
Kristian Hartikainen
Hugo Ponte
Abhishek Gupta
Sergey Levine
Vikash Kumar
32
126
0
25 Sep 2019
Previous
1
2