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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"

39 / 289 papers shown
M$^3$RL: Mind-aware Multi-agent Management Reinforcement Learning
M3^33RL: Mind-aware Multi-agent Management Reinforcement Learning
Tianmin Shu
Yuandong Tian
338
59
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
203
31
0
20 Sep 2018
Logically-Constrained Neural Fitted Q-Iteration
Logically-Constrained Neural Fitted Q-Iteration
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
192
40
0
20 Sep 2018
Automata Guided Reinforcement Learning With Demonstrations
Automata Guided Reinforcement Learning With Demonstrations
Xiao Li
Yao Ma
C. Belta
OffRL
164
12
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
235
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
331
205
0
23 Jul 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with
  Subtask Dependencies
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask DependenciesNeural Information Processing Systems (NeurIPS), 2018
Sungryull Sohn
Junhyuk Oh
Honglak Lee
404
68
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
225
387
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
189
37
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
192
149
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
1.3K
3,405
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
320
30
0
20 May 2018
Learning to Sequence Robot Behaviors for Visual Navigation
Learning to Sequence Robot Behaviors for Visual Navigation
Hadi Salman
Puneet Singhal
Tanmay Shankar
Peng Yin
A. Salman
William Paivine
Guillaume Sartoretti
Matthew Travers
Howie Choset
133
8
0
05 Mar 2018
TACO: Learning Task Decomposition via Temporal Alignment for Control
TACO: Learning Task Decomposition via Temporal Alignment for ControlInternational Conference on Machine Learning (ICML), 2018
K. Shiarlis
Markus Wulfmeier
Sasha Salter
Shimon Whiteson
Ingmar Posner
239
101
0
02 Mar 2018
Hierarchical Imitation and Reinforcement Learning
Hierarchical Imitation and Reinforcement LearningInternational Conference on Machine Learning (ICML), 2018
Hoang Minh Le
Nan Jiang
Alekh Agarwal
Miroslav Dudík
Yisong Yue
Hal Daumé
222
205
0
01 Mar 2018
Composable Planning with Attributes
Composable Planning with AttributesInternational Conference on Machine Learning (ICML), 2018
Amy Zhang
Adam Lerer
Sainbayar Sukhbaatar
Rob Fergus
Arthur Szlam
359
67
0
01 Mar 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided
  Exploration
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Emmy Liu
Kelvin Guu
Panupong Pasupat
Tianlin Shi
Abigail Z. Jacobs
OnRL
211
281
0
24 Feb 2018
Learning High-level Representations from Demonstrations
Learning High-level Representations from Demonstrations
Garrett Andersen
Peter Vrancx
Haitham Bou-Ammar
127
4
0
19 Feb 2018
Memorize or generalize? Searching for a compositional RNN in a haystack
Memorize or generalize? Searching for a compositional RNN in a haystack
Adam Liska
Germán Kruszewski
Marco Baroni
185
81
0
18 Feb 2018
Improving the Universality and Learnability of Neural
  Programmer-Interpreters with Combinator Abstraction
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction
Da Xiao
Jonathan Liao
Xingyuan Yuan
NAI
146
14
0
08 Feb 2018
Interactive Grounded Language Acquisition and Generalization in a 2D
  World
Interactive Grounded Language Acquisition and Generalization in a 2D World
Haonan Yu
Haichao Zhang
Wenyuan Xu
LLMAGLM&Ro
451
80
0
31 Jan 2018
MAttNet: Modular Attention Network for Referring Expression
  Comprehension
MAttNet: Modular Attention Network for Referring Expression Comprehension
Licheng Yu
Zhe Lin
Xiaohui Shen
Jimei Yang
Xin Lu
Joey Tianyi Zhou
Tamara L. Berg
ObjD
526
911
0
24 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu
Yuxin Wu
Georgia Gkioxari
Yuandong Tian
3DV
517
353
0
07 Jan 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task
  Reinforcement Learning
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2017
Tianmin Shu
Caiming Xiong
R. Socher
OffRL
349
149
0
20 Dec 2017
Embodied Question Answering
Embodied Question Answering
Abhishek Das
Samyak Datta
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
LM&Ro
353
718
0
30 Nov 2017
Learning to Compose Skills
Learning to Compose Skills
Himanshu Sahni
Saurabh Kumar
Farhan Tejani
Charles Isbell
CoGe
181
42
0
30 Nov 2017
Crossmodal Attentive Skill Learner
Crossmodal Attentive Skill Learner
Shayegan Omidshafiei
Dong-Ki Kim
Jason Pazis
Jonathan P. How
224
13
0
28 Nov 2017
Cascade Attribute Learning Network
Cascade Attribute Learning Network
Zhuo Xu
Haonan Chang
Masayoshi Tomizuka
91
4
0
24 Nov 2017
Learning to Imagine Manipulation Goals for Robot Task Planning
Learning to Imagine Manipulation Goals for Robot Task Planning
Chris Paxton
Kapil D. Katyal
Christian Rupprecht
R. Arora
Gregory Hager
SSL
91
1
0
08 Nov 2017
Learning with Latent Language
Learning with Latent Language
Jacob Andreas
Dan Klein
Sergey Levine
269
139
0
01 Nov 2017
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep
  Reinforcement Learning
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning
Sergio Valcarcel Macua
Aleksi Tukiainen
D. Hernández
David Baldazo
Enrique Munoz de Cote
S. Zazo
348
31
0
28 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical
  Tasks
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
Danfei Xu
Suraj Nair
Yuke Zhu
J. Gao
Animesh Garg
Li Fei-Fei
Silvio Savarese
246
207
0
04 Oct 2017
When Waiting is not an Option : Learning Options with a Deliberation
  Cost
When Waiting is not an Option : Learning Options with a Deliberation Cost
J. Harb
Pierre-Luc Bacon
Martin Klissarov
Doina Precup
180
164
0
14 Sep 2017
General AI Challenge - Round One: Gradual Learning
General AI Challenge - Round One: Gradual Learning
Jan Feyereisl
Matej Nikl
Martin Poliak
Martin Stránský
M. Vlasak
CLLAI4CE
133
1
0
17 Aug 2017
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
1.0K
2,710
0
25 Jul 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement
  Learning
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh
Satinder Singh
Honglak Lee
Pushmeet Kohli
OffRL
306
278
0
15 Jun 2017
Combining Neural Networks and Tree Search for Task and Motion Planning
  in Challenging Environments
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments
Chris Paxton
Vasumathi Raman
Gregory Hager
Marin Kobilarov
180
127
0
22 Mar 2017
CommAI: Evaluating the first steps towards a useful general AI
CommAI: Evaluating the first steps towards a useful general AIInternational Conference on Learning Representations (ICLR), 2017
Marco Baroni
Armand Joulin
Allan Jabri
Germán Kruszewski
Angeliki Lazaridou
Klemen Simonic
Tomas Mikolov
200
18
0
31 Jan 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
979
1,750
0
25 Jan 2017
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