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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
Online Adaptive Mahalanobis Distance Estimation
Online Adaptive Mahalanobis Distance Estimation
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Aravind Reddy
Zhao Song
70
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Multi-Level Compositional Reasoning for Interactive Instruction
  Following
Multi-Level Compositional Reasoning for Interactive Instruction Following
Suvaansh Bhambri
Byeonghwi Kim
Jonghyun Choi
LM&Ro
119
11
0
18 Aug 2023
Learning to Model the World with Language
Learning to Model the World with Language
Jessy Lin
Yuqing Du
Olivia Watkins
Danijar Hafner
Pieter Abbeel
Dan Klein
Anca Dragan
LM&RoSyDa
121
55
0
31 Jul 2023
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks
  with Surgical Robot
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Tao Huang
Kai-xiang Chen
Wang Wei
Jianan Li
Yonghao Long
Qi Dou
OffRL
76
7
0
31 Jul 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron
  Identification
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification
Lianke Qin
Zhao Song
Yuanyuan Yang
59
9
0
13 Jul 2023
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with
  Language Models
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Wenlong Huang
Chen Wang
Ruohan Zhang
Yunzhu Li
Jiajun Wu
Li Fei-Fei
LM&Ro
132
518
0
12 Jul 2023
Learning to Modulate pre-trained Models in RL
Learning to Modulate pre-trained Models in RL
Thomas Schmied
M. Hofmarcher
Fabian Paischer
Razvan Pascanu
Sepp Hochreiter
CLLOffRL
103
18
0
26 Jun 2023
Improving Long-Horizon Imitation Through Instruction Prediction
Improving Long-Horizon Imitation Through Instruction Prediction
Joey Hejna
Pieter Abbeel
Lerrel Pinto
52
8
0
21 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Jesse Zhang
Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
121
17
0
20 Jun 2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative
  Models
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
Siyan Zhao
Aditya Grover
OffRL
81
7
0
09 Jun 2023
Efficient Multi-Task and Transfer Reinforcement Learning with
  Parameter-Compositional Framework
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun
Haichao Zhang
Wei Xu
Masayoshi Tomizuka
116
9
0
02 Jun 2023
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Lorenz Wolf
Mirco Musolesi
OffRL
77
0
0
01 Jun 2023
NetHack is Hard to Hack
NetHack is Hard to Hack
Ulyana Piterbarg
Lerrel Pinto
Rob Fergus
53
7
0
30 May 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen
Dipesh Tamboli
Tian-Shing Lan
Vaneet Aggarwal
85
12
0
22 May 2023
Plan, Eliminate, and Track -- Language Models are Good Teachers for
  Embodied Agents
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents
Yu-Chih Chen
So Yeon Min
Chase Davis
Ruslan Salakhutdinov
A. Azaria
Yuan-Fang Li
Tom Michael Mitchell
A. Bovik
LM&RoLLMAG
157
34
0
03 May 2023
Sample Efficient Model-free Reinforcement Learning from LTL
  Specifications with Optimality Guarantees
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Daqian Shao
Marta Kwiatkowska
OffRL
94
10
0
02 May 2023
Training Language Models with Language Feedback at Scale
Training Language Models with Language Feedback at Scale
Jérémy Scheurer
Jon Ander Campos
Tomasz Korbak
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
105
107
0
28 Mar 2023
Learning Rational Subgoals from Demonstrations and Instructions
Learning Rational Subgoals from Demonstrations and Instructions
Zhezheng Luo
Jiayuan Mao
Jiajun Wu
Tomás Lozano-Pérez
J. Tenenbaum
L. Kaelbling
77
5
0
09 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMeOOD
159
80
0
22 Feb 2023
Multimodal Subtask Graph Generation from Instructional Videos
Multimodal Subtask Graph Generation from Instructional Videos
Y. Jang
Sungryull Sohn
Lajanugen Logeswaran
Tiange Luo
Moontae Lee
Ho Hin Lee
72
10
0
17 Feb 2023
Robust Subtask Learning for Compositional Generalization
Robust Subtask Learning for Compositional Generalization
Kishor Jothimurugan
Steve Hsu
Osbert Bastani
Rajeev Alur
OffRL
62
5
0
06 Feb 2023
PushWorld: A benchmark for manipulation planning with tools and movable
  obstacles
PushWorld: A benchmark for manipulation planning with tools and movable obstacles
Ken Kansky
Skanda Vaidyanath
Scott Swingle
Xinghua Lou
Miguel Lazaro-Gredilla
Dileep George
76
4
0
24 Jan 2023
Effective Baselines for Multiple Object Rearrangement Planning in
  Partially Observable Mapped Environments
Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments
Engin Tekin
Elaheh Barati
Nitin Kamra
Ruta Desai
24
1
0
24 Jan 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum
Understanding the Complexity Gains of Single-Task RL with a Curriculum
Qiyang Li
Yuexiang Zhai
Yi-An Ma
Sergey Levine
112
16
0
24 Dec 2022
Learning Options via Compression
Learning Options via Compression
Yiding Jiang
Emmy Liu
Benjamin Eysenbach
Zico Kolter
Chelsea Finn
OffRL
93
14
0
08 Dec 2022
Generalizing LTL Instructions via Future Dependent Options
Generalizing LTL Instructions via Future Dependent Options
Duo Xu
Faramarz Fekri
OffRLAI4CE
78
1
0
08 Dec 2022
Automata Cascades: Expressivity and Sample Complexity
Automata Cascades: Expressivity and Sample Complexity
Alessandro Ronca
Nadezda A. Knorozova
G. D. Giacomo
36
2
0
25 Nov 2022
Noisy Symbolic Abstractions for Deep RL: A case study with Reward
  Machines
Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines
Andrew C. Li
Zizhao Chen
Pashootan Vaezipoor
Toryn Q. Klassen
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
91
10
0
20 Nov 2022
Explainability Via Causal Self-Talk
Explainability Via Causal Self-Talk
Nicholas A. Roy
Junkyung Kim
Neil C. Rabinowitz
CML
87
7
0
17 Nov 2022
Towards customizable reinforcement learning agents: Enabling preference
  specification through online vocabulary expansion
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion
Utkarsh Soni
Nupur Thakur
S. Sreedharan
L. Guan
Mudit Verma
Matthew Marquez
Subbarao Kambhampati
98
6
0
27 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
Lingfeng Sun
Haichao Zhang
Wei Xu
Masayoshi Tomizuka
MoE
93
42
0
21 Oct 2022
Using Both Demonstrations and Language Instructions to Efficiently Learn
  Robotic Tasks
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Albert Yu
Raymond J. Mooney
LM&Ro
71
20
0
10 Oct 2022
Zero-Shot Policy Transfer with Disentangled Task Representation of
  Meta-Reinforcement Learning
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Zheng Wu
Yichen Xie
Wenzhao Lian
Changhao Wang
Yanjiang Guo
Jianyu Chen
S. Schaal
Masayoshi Tomizuka
OffRL
100
10
0
01 Oct 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
127
28
0
28 Sep 2022
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement
  Learning
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning
Mohammadhosein Hasanbeig
Daniel Kroening
Alessandro Abate
88
15
0
21 Sep 2022
Induced Natural Language Rationales and Interleaved Markup Tokens Enable
  Extrapolation in Large Language Models
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models
M. Bueno
Carlos Gemmel
Jeffrey Stephen Dalton
R. Lotufo
Rodrigo Nogueira
LRM
81
12
0
24 Aug 2022
A Computational Interface to Translate Strategic Intent from
  Unstructured Language in a Low-Data Setting
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting
Pradyumna Tambwekar
Lakshita Dodeja
Nathan Vaska
Wei Xu
Matthew C. Gombolay
85
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RLang: A Declarative Language for Describing Partial World Knowledge to
  Reinforcement Learning Agents
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
Rafael Rodríguez-Sánchez
Benjamin A. Spiegel
Jenny Wang
Roma Patel
Stefanie Tellex
George Konidaris
56
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The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
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Andrew M. Saxe
Shagun Sodhani
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97
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0
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Abstract Demonstrations and Adaptive Exploration for Efficient and
  Stable Multi-step Sparse Reward Reinforcement Learning
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
Xintong Yang
Ze Ji
Jing Wu
Yunyu Lai
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52
5
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GriddlyJS: A Web IDE for Reinforcement Learning
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Minqi Jiang
Mikayel Samvelyan
Tim Rocktaschel
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94
5
0
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TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
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Krishna Murthy Jatavallabhula
M. Khodeir
O. Mikšík
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Mustafa Mukadam
Liam Paull
Florian Shkurti
101
72
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Transformers are Adaptable Task Planners
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Yixin Lin
Eric Undersander
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113
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EAGER: Asking and Answering Questions for Automatic Reward Shaping in
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EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Thomas Carta
Pierre-Yves Oudeyer
Olivier Sigaud
Sylvain Lamprier
OffRL
80
25
0
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MineDojo: Building Open-Ended Embodied Agents with Internet-Scale
  Knowledge
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Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
LM&Ro
148
388
0
17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSLOffRL
113
164
0
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Matching options to tasks using Option-Indexed Hierarchical
  Reinforcement Learning
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Kushal Chauhan
Soumya Chatterjee
Akash Reddy
Balaraman Ravindran
Pradeep Shenoy
39
0
0
12 Jun 2022
LegoNN: Building Modular Encoder-Decoder Models
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Siddharth Dalmia
Dmytro Okhonko
M. Lewis
Sergey Edunov
Shinji Watanabe
Florian Metze
Luke Zettlemoyer
Abdel-rahman Mohamed
AuLLMMoE
69
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Hierarchies of Reward Machines
Hierarchies of Reward Machines
Daniel Furelos-Blanco
Mark Law
Anders Jonsson
Krysia Broda
A. Russo
78
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Fast Inference and Transfer of Compositional Task Structures for
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Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization
Sungryull Sohn
Hyunjae Woo
Jongwook Choi
lyubing qiang
Izzeddin Gur
Aleksandra Faust
Honglak Lee
BDLOffRL
76
3
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