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Model-Based Visual Planning with Self-Supervised Functional Distances

Model-Based Visual Planning with Self-Supervised Functional Distances

30 December 2020
Stephen Tian
Suraj Nair
F. Ebert
Sudeep Dasari
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
    SSLOffRL
ArXiv (abs)PDFHTML

Papers citing "Model-Based Visual Planning with Self-Supervised Functional Distances"

50 / 55 papers shown
Title
Zero-Shot Offline Imitation Learning via Optimal Transport
Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf
Marco Bagatella
Nico Gürtler
Jonas Frey
Georg Martius
OffRL
422
0
0
11 Oct 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
110
11
0
06 Mar 2024
Batch Exploration with Examples for Scalable Robotic Reinforcement
  Learning
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen
H. Nam
Suraj Nair
Chelsea Finn
OffRL
67
25
0
22 Oct 2020
Model-Based Offline Planning
Model-Based Offline Planning
Arthur Argenson
Gabriel Dulac-Arnold
OffRL
64
155
0
12 Aug 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
Ashvin Nair
Abhishek Gupta
Murtaza Dalal
Sergey Levine
OffRLOnRL
107
612
0
16 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRLOnRL
140
1,824
0
08 Jun 2020
MOPO: Model-based Offline Policy Optimization
MOPO: Model-based Offline Policy Optimization
Tianhe Yu
G. Thomas
Lantao Yu
Stefano Ermon
James Zou
Sergey Levine
Chelsea Finn
Tengyu Ma
OffRL
76
772
0
27 May 2020
MOReL : Model-Based Offline Reinforcement Learning
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi
Aravind Rajeswaran
Praneeth Netrapalli
Thorsten Joachims
OffRL
96
673
0
12 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRLGP
561
2,040
0
04 May 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu
Thanard Kurutach
Christine Tung
Pieter Abbeel
Aviv Tamar
74
48
0
27 Feb 2020
The Surprising Effectiveness of Linear Models for Visual Foresight in
  Object Pile Manipulation
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation
H.J. Terry Suh
Russ Tedrake
65
62
0
21 Feb 2020
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
G. Kahn
Pieter Abbeel
Sergey Levine
SSL
69
267
0
13 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
124
1,371
0
03 Dec 2019
Behavior Regularized Offline Reinforcement Learning
Behavior Regularized Offline Reinforcement Learning
Yifan Wu
George Tucker
Ofir Nachum
OffRL
92
687
0
26 Nov 2019
Planning with Goal-Conditioned Policies
Planning with Goal-Conditioned Policies
Soroush Nasiriany
Vitchyr H. Pong
Steven Lin
Sergey Levine
OffRL
140
219
0
19 Nov 2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning
  Control from Offline Robot Manipulation Data
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data
Ajay Mandlekar
Fabio Ramos
Byron Boots
Silvio Savarese
Li Fei-Fei
Animesh Garg
Dieter Fox
OffRL
91
119
0
13 Nov 2019
Experience-Embedded Visual Foresight
Experience-Embedded Visual Foresight
Yen-Chen Lin
Maria Bauzá
Phillip Isola
92
36
0
12 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
244
1,179
0
24 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
Contextual Imagined Goals for Self-Supervised Robotic Learning
Ashvin Nair
Shikhar Bahl
Alexander Khazatsky
Vitchyr H. Pong
Glen Berseth
Sergey Levine
SSL
74
68
0
23 Oct 2019
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
220
415
0
25 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks
  via Visual Subgoal Generation
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair
Chelsea Finn
VGen
78
138
0
12 Sep 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill
  Discovery
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery
Kristian Hartikainen
Xinyang Geng
Tuomas Haarnoja
Sergey Levine
SSL
70
81
0
18 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a
  Latent Variable Model
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee
Anusha Nagabandi
Pieter Abbeel
Sergey Levine
OffRLBDL
85
382
0
01 Jul 2019
Exploring Model-based Planning with Policy Networks
Exploring Model-based Planning with Policy Networks
Tingwu Wang
Jimmy Ba
92
149
0
20 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
98
956
0
19 Jun 2019
Goal-conditioned Imitation Learning
Goal-conditioned Imitation Learning
Yiming Ding
Carlos Florensa
Mariano Phielipp
Pieter Abbeel
64
226
0
13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement
  Learning
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
73
292
0
12 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRLOnRL
132
1,066
0
03 Jun 2019
Learning Latent Plans from Play
Learning Latent Plans from Play
Corey Lynch
Mohi Khansari
Ted Xiao
Vikash Kumar
Jonathan Tompson
Sergey Levine
P. Sermanet
SSLLM&Ro
93
406
0
05 Mar 2019
Unsupervised Visuomotor Control through Distributional Planning Networks
Unsupervised Visuomotor Control through Distributional Planning Networks
Tianhe Yu
Gleb Shevchuk
Dorsa Sadigh
Chelsea Finn
SSLOffRL
58
42
0
14 Feb 2019
Self-supervised Learning of Image Embedding for Continuous Control
Self-supervised Learning of Image Embedding for Continuous Control
Carlos Florensa
Jonas Degrave
N. Heess
Jost Tobias Springenberg
Martin Riedmiller
SSL
53
53
0
03 Jan 2019
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
234
1,613
0
07 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for
  Vision-Based Robotic Control
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
F. Ebert
Chelsea Finn
Sudeep Dasari
Annie Xie
Alex X. Lee
Sergey Levine
SSL
110
392
0
03 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
Steven Hansen
Volodymyr Mnih
DRLOffRLSSL
86
178
0
28 Nov 2018
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
88
1,446
0
12 Nov 2018
Plan Online, Learn Offline: Efficient Learning and Exploration via
  Model-Based Control
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey
Aravind Rajeswaran
Sham Kakade
G. Haro
Igor Mordatch
OffRL
61
228
0
05 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,114
0
11 Oct 2018
Robustness via Retrying: Closed-Loop Robotic Manipulation with
  Self-Supervised Learning
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
F. Ebert
Sudeep Dasari
Alex X. Lee
Sergey Levine
Chelsea Finn
SSL
55
61
0
06 Oct 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
84
544
0
12 Jul 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic
  Dynamics Models
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua
Roberto Calandra
R. McAllister
Sergey Levine
BDL
226
1,284
0
30 May 2018
Learning Awareness Models
Learning Awareness Models
Brandon Amos
Laurent Dinh
Serkan Cabi
Thomas Rothörl
Sergio Gomez Colmenarejo
Alistair Muldal
Tom Erez
Yuval Tassa
Nando de Freitas
Misha Denil
81
44
0
17 Apr 2018
Stochastic Adversarial Video Prediction
Stochastic Adversarial Video Prediction
Alex X. Lee
Richard Y. Zhang
F. Ebert
Pieter Abbeel
Chelsea Finn
Sergey Levine
DRLVGenGAN
68
453
0
04 Apr 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
133
1,085
0
27 Mar 2018
Semi-parametric Topological Memory for Navigation
Semi-parametric Topological Memory for Navigation
Nikolay Savinov
Alexey Dosovitskiy
V. Koltun
73
383
0
01 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
180
5,204
0
26 Feb 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
90
526
0
21 Feb 2018
Stochastic Variational Video Prediction
Stochastic Variational Video Prediction
Mohammad Babaeizadeh
Chelsea Finn
D. Erhan
R. Campbell
Sergey Levine
DRLVGen
75
543
0
30 Oct 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with
  Model-Free Fine-Tuning
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi
G. Kahn
R. Fearing
Sergey Levine
91
974
0
08 Aug 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
101
557
0
19 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
262
2,337
0
05 Jul 2017
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