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Modular Multitask Reinforcement Learning with Policy Sketches
v1v2 (latest)

Modular Multitask Reinforcement Learning with Policy Sketches

6 November 2016
Jacob Andreas
Dan Klein
Sergey Levine
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Modular Multitask Reinforcement Learning with Policy Sketches"

50 / 277 papers shown
Title
Efficient Bimanual Manipulation Using Learned Task Schemas
Efficient Bimanual Manipulation Using Learned Task Schemas
Rohan Chitnis
Shubham Tulsiani
Saurabh Gupta
Abhinav Gupta
88
75
0
30 Sep 2019
Regression Planning Networks
Regression Planning Networks
Danfei Xu
Roberto Martín-Martín
De-An Huang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
55
57
0
28 Sep 2019
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual
  Tasks with Sim to Real Transfer
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Andrew Hundt
Benjamin Killeen
Nicholas Greene
Hongtao Wu
Heeyeon Kwon
Chris Paxton
Gregory Hager
OffRL
74
8
0
25 Sep 2019
Modular Deep Reinforcement Learning with Temporal Logic Specifications
Modular Deep Reinforcement Learning with Temporal Logic Specifications
Li-xin Yuan
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
OffRL
56
41
0
23 Sep 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang
F. Torabi
L. Guan
D. Ballard
Peter Stone
59
87
0
21 Sep 2019
Joint Inference of Reward Machines and Policies for Reinforcement
  Learning
Joint Inference of Reward Machines and Policies for Reinforcement Learning
Zhe Xu
I. Gavran
Yousef Ahmad
R. Majumdar
Daniel Neider
Ufuk Topcu
Bo Wu
84
94
0
12 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
Weixun Wang
Tianpei Yang
Y. Liu
Jianye Hao
Xiaotian Hao
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
AI4CE
69
112
0
06 Sep 2019
Skill Transfer in Deep Reinforcement Learning under Morphological
  Heterogeneity
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
Yang Hu
Giovanni Montana
57
6
0
14 Aug 2019
Walking with MIND: Mental Imagery eNhanceD Embodied QA
Walking with MIND: Mental Imagery eNhanceD Embodied QA
Juncheng Li
Siliang Tang
Leilei Gan
Yueting Zhuang
68
23
0
05 Aug 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss
Brandon Houghton
Nicholay Topin
Phillip Wang
Cayden R. Codel
Manuela Veloso
Ruslan Salakhutdinov
OffRL
84
227
0
29 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning
  using Task-achievement Rewards via Probabilistic Graphical Model
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model
Akira Kinose
T. Taniguchi
100
20
0
03 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier
A. Abdolmaleki
Roland Hafner
Jost Tobias Springenberg
Michael Neunert
Tim Hertweck
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
108
27
0
26 Jun 2019
Reinforcement Learning with Competitive Ensembles of
  Information-Constrained Primitives
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal
Shagun Sodhani
Jonathan Binas
Xue Bin Peng
Sergey Levine
Yoshua Bengio
91
49
0
25 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
69
225
0
18 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Alexander C. Li
Carlos Florensa
I. Clavera
Pieter Abbeel
96
74
0
13 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina
Nantas Nardelli
Gregory Farquhar
Jakob N. Foerster
Jacob Andreas
Edward Grefenstette
Shimon Whiteson
Tim Rocktaschel
LM&RoKELMOffRLLRM
110
282
0
10 Jun 2019
Transcoding compositionally: using attention to find more generalizable
  solutions
Transcoding compositionally: using attention to find more generalizable solutions
K. Korrel
Dieuwke Hupkes
Verna Dankers
Elia Bruni
68
31
0
04 Jun 2019
Hierarchical Decision Making by Generating and Following Natural
  Language Instructions
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Hengyuan Hu
Denis Yarats
Qucheng Gong
Yuandong Tian
M. Lewis
LM&Ro
74
66
0
03 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and
  Planning
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas Pierrot
Guillaume Ligner
Scott E. Reed
Olivier Sigaud
Nicolas Perrin
Alexandre Laterre
David Kas
Karim Beguir
Nando de Freitas
176
41
0
30 May 2019
Zero-shot task adaptation by homoiconic meta-mapping
Zero-shot task adaptation by homoiconic meta-mapping
Andrew Kyle Lampinen
James L. McClelland
59
1
0
23 May 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAILRMAI4CE
141
250
0
26 Apr 2019
PLOTS: Procedure Learning from Observations using Subtask Structure
PLOTS: Procedure Learning from Observations using Subtask Structure
Tong Mu
Karan Goel
Emma Brunskill
21
3
0
17 Apr 2019
Multi-Target Embodied Question Answering
Multi-Target Embodied Question Answering
Licheng Yu
Xinlei Chen
Georgia Gkioxari
Joey Tianyi Zhou
Tamara L. Berg
Dhruv Batra
88
107
0
09 Apr 2019
Synthesized Policies for Transfer and Adaptation across Tasks and
  Environments
Synthesized Policies for Transfer and Adaptation across Tasks and Environments
Hexiang Hu
Liyu Chen
Boqing Gong
Fei Sha
48
9
0
05 Apr 2019
Multitask Soft Option Learning
Multitask Soft Option Learning
Maximilian Igl
Andrew Gambardella
Jinke He
Nantas Nardelli
N. Siddharth
Wendelin Bohmer
Shimon Whiteson
185
26
0
01 Apr 2019
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented
  Learning
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
Xiaofeng Gao
Ran Gong
Tianmin Shu
Xu Xie
Shu Wang
Song-Chun Zhu
67
62
0
13 Mar 2019
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning
  Algorithm for Continuous Control of Nonlinear Dynamical Systems
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems
E. Abramova
Luke Dickens
Daniel Kuhn
A. Faisal
53
3
0
07 Mar 2019
A Behavioral Approach to Visual Navigation with Graph Localization
  Networks
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Kevin Chen
Juan Pablo de Vicente
G. Sepulveda
Fei Xia
Á. Soto
Nathan Tsoi
Silvio Savarese
GNN
68
100
0
01 Mar 2019
Modularity as a Means for Complexity Management in Neural Networks
  Learning
Modularity as a Means for Complexity Management in Neural Networks Learning
David Castillo-Bolado
Cayetano Guerra
M. Hernández-Tejera
39
5
0
25 Feb 2019
Probabilistic Neural-symbolic Models for Interpretable Visual Question
  Answering
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering
Ramakrishna Vedantam
Karan Desai
Stefan Lee
Marcus Rohrbach
Dhruv Batra
Devi Parikh
NAIBDL
97
87
0
21 Feb 2019
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic Guidance
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
127
57
0
02 Feb 2019
Universal Successor Features Approximators
Universal Successor Features Approximators
Diana Borsa
André Barreto
John Quan
D. Mankowitz
Rémi Munos
H. V. Hasselt
David Silver
Tom Schaul
89
117
0
18 Dec 2018
CompILE: Compositional Imitation Learning and Execution
CompILE: Compositional Imitation Learning and Execution
Thomas Kipf
Yujia Li
H. Dai
V. Zambaldi
Alvaro Sanchez-Gonzalez
Edward Grefenstette
Pushmeet Kohli
Peter W. Battaglia
VLM
93
14
0
04 Dec 2018
On the Complexity of Exploration in Goal-Driven Navigation
On the Complexity of Exploration in Goal-Driven Navigation
Maruan Al-Shedivat
Lisa Lee
Ruslan Salakhutdinov
Eric Xing
49
10
0
16 Nov 2018
Neural Modular Control for Embodied Question Answering
Neural Modular Control for Embodied Question Answering
Abhishek Das
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
LM&Ro
199
130
0
26 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
Interactive Agent Modeling by Learning to Probe
Interactive Agent Modeling by Learning to Probe
Tianmin Shu
Caiming Xiong
Ying Nian Wu
Song-Chun Zhu
LM&Ro
53
2
0
01 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented
  Demonstrations using Directed Information
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Arjun Sharma
Mohit Sharma
Nicholas Rhinehart
Kris Kitani
84
68
0
29 Sep 2018
M$^3$RL: Mind-aware Multi-agent Management Reinforcement Learning
M3^33RL: Mind-aware Multi-agent Management Reinforcement Learning
Tianmin Shu
Yuandong Tian
92
54
0
29 Sep 2018
Learning Quickly to Plan Quickly Using Modular Meta-Learning
Learning Quickly to Plan Quickly Using Modular Meta-Learning
Rohan Chitnis
L. Kaelbling
Tomás Lozano-Pérez
76
26
0
20 Sep 2018
Logically-Constrained Neural Fitted Q-Iteration
Logically-Constrained Neural Fitted Q-Iteration
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
65
40
0
20 Sep 2018
Automata Guided Reinforcement Learning With Demonstrations
Automata Guided Reinforcement Learning With Demonstrations
Xiao Li
Yao Ma
C. Belta
OffRL
70
11
0
17 Sep 2018
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models
  for Navigating in a Circular Maze
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
Diego Romeres
Devesh K. Jha
Alberto Dalla Libera
W. Yerazunis
D. Nikovski
108
28
0
13 Sep 2018
Explainable Neural Computation via Stack Neural Module Networks
Explainable Neural Computation via Stack Neural Module Networks
Ronghang Hu
Jacob Andreas
Trevor Darrell
Kate Saenko
LRMOCL
106
199
0
23 Jul 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with
  Subtask Dependencies
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
Sungryull Sohn
Junhyuk Oh
Honglak Lee
177
66
0
19 Jul 2018
Measuring abstract reasoning in neural networks
Measuring abstract reasoning in neural networks
David Barrett
Felix Hill
Adam Santoro
Ari S. Morcos
Timothy Lillicrap
OOD
86
363
0
11 Jul 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single
  Traversal
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
Jake Bruce
Niko Sünderhauf
Piotr Wojciech Mirowski
R. Hadsell
Michael Milford
95
35
0
11 Jul 2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video
  Demonstration
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
De-An Huang
Suraj Nair
Danfei Xu
Yuke Zhu
Animesh Garg
Li Fei-Fei
Silvio Savarese
Juan Carlos Niebles
88
140
0
10 Jul 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
799
3,129
0
04 Jun 2018
Learning compositionally through attentive guidance
Learning compositionally through attentive guidance
Dieuwke Hupkes
Anand Singh
K. Korrel
Germán Kruszewski
Elia Bruni
CoGe
68
30
0
20 May 2018
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