ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.00953
  4. Cited By
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a
  Latent Variable Model

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
12