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Search on the Replay Buffer: Bridging Planning and Reinforcement
  Learning

Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

12 June 2019
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
    OffRL
ArXivPDFHTML

Papers citing "Search on the Replay Buffer: Bridging Planning and Reinforcement Learning"

24 / 174 papers shown
Title
Learning to plan with uncertain topological maps
Learning to plan with uncertain topological maps
E. Beeching
J. Dibangoye
Olivier Simonin
Christian Wolf
19
40
0
10 Jul 2020
Model-based Reinforcement Learning: A Survey
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
OffRL
27
47
0
30 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement
  Learning
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
Tianren Zhang
Shangqi Guo
Tian Tan
Xiaolin Hu
Feng Chen
24
81
0
20 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from
  Demonstrations
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
Alexey Skrynnik
A. Staroverov
Ermek Aitygulov
Kirill Aksenov
Vasilii Davydov
Aleksandr I. Panov
OffRL
16
4
0
17 Jun 2020
From proprioception to long-horizon planning in novel environments: A
  hierarchical RL model
From proprioception to long-horizon planning in novel environments: A hierarchical RL model
Nishad Gothoskar
Miguel Lázaro-Gredilla
Dileep George
23
0
0
11 Jun 2020
Neural Topological SLAM for Visual Navigation
Neural Topological SLAM for Visual Navigation
Devendra Singh Chaplot
Ruslan Salakhutdinov
Abhinav Gupta
Saurabh Gupta
22
291
0
25 May 2020
TOMA: Topological Map Abstraction for Reinforcement Learning
TOMA: Topological Map Abstraction for Reinforcement Learning
Zhao-Heng Yin
Wu-Jun Li
14
2
0
11 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Ge Yang
Amy Zhang
Ari S. Morcos
Joelle Pineau
Pieter Abbeel
Roberto Calandra
SSL
OffRL
28
27
0
07 May 2020
First return, then explore
First return, then explore
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
350
0
27 Apr 2020
Learning to Visually Navigate in Photorealistic Environments Without any
  Supervision
Learning to Visually Navigate in Photorealistic Environments Without any Supervision
Lina Mezghani
Sainbayar Sukhbaatar
Arthur Szlam
Armand Joulin
Piotr Bojanowski
SSL
4
10
0
10 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
17
26
0
06 Apr 2020
Adjust Planning Strategies to Accommodate Reinforcement Learning Agents
Adjust Planning Strategies to Accommodate Reinforcement Learning Agents
Xue Chen
9
0
0
19 Mar 2020
Sparse Graphical Memory for Robust Planning
Sparse Graphical Memory for Robust Planning
Scott Emmons
Ajay Jain
Michael Laskin
Thanard Kurutach
Pieter Abbeel
Deepak Pathak
23
50
0
13 Mar 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
9
48
0
27 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy
  Improvement
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
18
86
0
25 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control
  Tasks with Path Planning
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning
Sammy Christen
Lukás Jendele
Emre Aksan
Otmar Hilliges
OffRL
27
25
0
14 Feb 2020
Multi-task Reinforcement Learning with a Planning Quasi-Metric
Multi-task Reinforcement Learning with a Planning Quasi-Metric
Vincent Micheli
Karthigan Sinnathamby
Franccois Fleuret
6
2
0
08 Feb 2020
Reinforcement Learning with Goal-Distance Gradient
Reinforcement Learning with Goal-Distance Gradient
Kai Jiang
X. Qin
9
0
0
01 Jan 2020
Learning to Reach Goals via Iterated Supervised Learning
Learning to Reach Goals via Iterated Supervised Learning
Dibya Ghosh
Abhishek Gupta
Ashwin Reddy
Justin Fu
Coline Devin
Benjamin Eysenbach
Sergey Levine
24
34
0
12 Dec 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
31
137
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
38
74
0
18 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Wenling Shang
Alexander R. Trott
Stephan Zheng
Caiming Xiong
R. Socher
22
18
0
01 Jul 2019
Exploration via Hindsight Goal Generation
Exploration via Hindsight Goal Generation
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
32
85
0
10 Jun 2019
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
5,675
0
05 Dec 2016
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