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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 / 289 papers shown
Extended Markov Games to Learn Multiple Tasks in Multi-Agent
  Reinforcement Learning
Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement LearningEuropean Conference on Artificial Intelligence (ECAI), 2020
Borja G. Leon
Francesco Belardinelli
OffRL
115
18
0
14 Feb 2020
Meta Reinforcement Learning with Autonomous Inference of Subtask
  Dependencies
Meta Reinforcement Learning with Autonomous Inference of Subtask DependenciesInternational Conference on Learning Representations (ICLR), 2020
Sungryull Sohn
Hyunjae Woo
Jongwook Choi
Honglak Lee
OffRL
186
36
0
01 Jan 2020
Zero-shot generalization using cascaded system-representations
Zero-shot generalization using cascaded system-representations
A. Malik
OffRL
142
2
0
11 Dec 2019
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep
  Reinforcement Learning
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
Mohammadhosein Hasanbeig
N. Jeppu
Alessandro Abate
T. Melham
Daniel Kroening
474
20
0
22 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex
  Manipulation Tasks
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation TasksIEEE International Conference on Robotics and Automation (ICRA), 2019
Youngwoon Lee
E. Hu
Zhengyu Yang
Alexander Yin
Joseph J. Lim
317
142
0
17 Nov 2019
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models
Siddharth Dalmia
Abdel-rahman Mohamed
M. Lewis
Florian Metze
Luke Zettlemoyer
168
12
0
09 Nov 2019
Learning from Trajectories via Subgoal Discovery
Learning from Trajectories via Subgoal DiscoveryNeural Information Processing Systems (NeurIPS), 2019
S. Paul
J. Baar
Amit K. Roy-Chowdhury
260
49
0
03 Nov 2019
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control
Coline Devin
Daniel Geng
Pieter Abbeel
Trevor Darrell
Sergey Levine
CoGe
170
8
0
30 Oct 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step
  Manipulation
Dynamics Learning with Cascaded Variational Inference for Multi-Step ManipulationConference on Robot Learning (CoRL), 2019
Kuan Fang
Yuke Zhu
Animesh Garg
Silvio Savarese
Li Fei-Fei
DRL
199
49
0
29 Oct 2019
Conditional Driving from Natural Language Instructions
Conditional Driving from Natural Language InstructionsConference on Robot Learning (CoRL), 2019
Junha Roh
Chris Paxton
Andrzej Pronobis
Ali Farhadi
Dieter Fox
LM&Ro
207
35
0
16 Oct 2019
Fast Task-Adaptation for Tasks Labeled Using Natural Language in
  Reinforcement Learning
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning
Matthias Hutsebaut-Buysse
Kevin Mets
Steven Latré
126
6
0
09 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agentInternational Conference on Learning Representations (ICLR), 2019
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
391
109
0
01 Oct 2019
Efficient Bimanual Manipulation Using Learned Task Schemas
Efficient Bimanual Manipulation Using Learned Task SchemasIEEE International Conference on Robotics and Automation (ICRA), 2019
Rohan Chitnis
Shubham Tulsiani
Saurabh Gupta
Abhinav Gupta
269
82
0
30 Sep 2019
Regression Planning Networks
Regression Planning NetworksNeural Information Processing Systems (NeurIPS), 2019
Danfei Xu
Roberto Martín-Martín
De-An Huang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
186
65
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
Rumaisa Azeem
Benjamin Killeen
Nicholas Greene
Hongtao Wu
Heeyeon Kwon
Chris Paxton
Gregory Hager
OffRL
279
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
182
41
0
23 Sep 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Leveraging Human Guidance for Deep Reinforcement Learning TasksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Ruohan Zhang
F. Torabi
L. Guan
D. Ballard
Peter Stone
164
93
0
21 Sep 2019
Joint Inference of Reward Machines and Policies for Reinforcement
  Learning
Joint Inference of Reward Machines and Policies for Reinforcement LearningInternational Conference on Automated Planning and Scheduling (ICAPS), 2019
Zhe Xu
I. Gavran
Yousef Ahmad
R. Majumdar
Daniel Neider
Ufuk Topcu
Bo Wu
184
106
0
12 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
From Few to More: Large-scale Dynamic Multiagent Curriculum LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Weixun Wang
Zhenxing Ge
Y. Liu
Jianye Hao
Xiaotian Hao
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
AI4CE
221
132
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
143
6
0
14 Aug 2019
Walking with MIND: Mental Imagery eNhanceD Embodied QA
Walking with MIND: Mental Imagery eNhanceD Embodied QAACM Multimedia (ACM MM), 2019
Juncheng Li
Siliang Tang
Leilei Gan
Yueting Zhuang
149
23
0
05 Aug 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
MineRL: A Large-Scale Dataset of Minecraft DemonstrationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
William H. Guss
Brandon Houghton
Nicholay Topin
Phillip Wang
Cayden R. Codel
Manuela Veloso
Ruslan Salakhutdinov
OffRL
267
271
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
192
21
0
03 Jul 2019
Compositional Transfer in Hierarchical Reinforcement Learning
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier
A. Abdolmaleki
Agrim Gupta
Jost Tobias Springenberg
Michael Neunert
Tim Hertweck
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
239
28
0
26 Jun 2019
Reinforcement Learning with Competitive Ensembles of
  Information-Constrained Primitives
Reinforcement Learning with Competitive Ensembles of Information-Constrained PrimitivesInternational Conference on Learning Representations (ICLR), 2019
Anirudh Goyal
Shagun Sodhani
Jonathan Binas
Xue Bin Peng
Sergey Levine
Yoshua Bengio
134
54
0
25 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Language as an Abstraction for Hierarchical Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2019
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
255
240
0
18 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Sub-policy Adaptation for Hierarchical Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019
Alexander C. Li
Carlos Florensa
I. Clavera
Pieter Abbeel
370
82
0
13 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language
A Survey of Reinforcement Learning Informed by Natural LanguageInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Jelena Luketina
Nantas Nardelli
Gregory Farquhar
Jakob N. Foerster
Jacob Andreas
Edward Grefenstette
Shimon Whiteson
Tim Rocktaschel
LM&RoKELMOffRLLRM
226
304
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
236
31
0
04 Jun 2019
Hierarchical Decision Making by Generating and Following Natural
  Language Instructions
Hierarchical Decision Making by Generating and Following Natural Language InstructionsNeural Information Processing Systems (NeurIPS), 2019
Hengyuan Hu
Denis Yarats
Qucheng Gong
Yuandong Tian
M. Lewis
LM&Ro
430
71
0
03 Jun 2019
Learning Compositional Neural Programs with Recursive Tree Search and
  Planning
Learning Compositional Neural Programs with Recursive Tree Search and PlanningNeural Information Processing Systems (NeurIPS), 2019
Thomas Pierrot
Guillaume Ligner
Scott E. Reed
Olivier Sigaud
Nicolas Perrin
Alexandre Laterre
David Kas
Karim Beguir
Nando de Freitas
360
42
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
250
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
962
281
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
66
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
199
125
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
155
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
350
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
157
63
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
66
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
Hao-Tien Lewis Chiang
Silvio Savarese
GNN
184
104
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
119
6
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
287
89
0
21 Feb 2019
Certified Reinforcement Learning with Logic Guidance
Certified Reinforcement Learning with Logic GuidanceArtificial Intelligence (AI), 2019
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
494
64
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
335
125
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
228
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
94
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
423
141
0
26 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
371
143
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
92
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
175
74
0
29 Sep 2018
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