Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1611.01796
Cited By
v1
v2 (latest)
Modular Multitask Reinforcement Learning with Policy Sketches
6 November 2016
Jacob Andreas
Dan Klein
Sergey Levine
OffRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Modular Multitask Reinforcement Learning with Policy Sketches"
50 / 289 papers shown
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
International Conference on Machine Learning (ICML), 2022
Andrew M. Saxe
Shagun Sodhani
Sam Lewallen
AI4CE
191
44
0
21 Jul 2022
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
International Conference on Automation and Computing (ICAC), 2022
Xintong Yang
Ze Ji
Jing Wu
Yunyu Lai
OffRL
135
7
0
19 Jul 2022
GriddlyJS: A Web IDE for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
C. Bamford
Minqi Jiang
Mikayel Samvelyan
Tim Rocktaschel
OnRL
305
6
0
13 Jul 2022
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
Conference on Robot Learning (CoRL), 2022
Christopher Agia
Krishna Murthy Jatavallabhula
M. Khodeir
O. Mikšík
Vibhav Vineet
Mustafa Mukadam
Liam Paull
Florian Shkurti
282
99
0
11 Jul 2022
Transformers are Adaptable Task Planners
Conference on Robot Learning (CoRL), 2022
Vidhi Jain
Yixin Lin
Eric Undersander
Yonatan Bisk
Akshara Rai
257
26
0
06 Jul 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Neural Information Processing Systems (NeurIPS), 2022
Thomas Carta
Pierre-Yves Oudeyer
Olivier Sigaud
Sylvain Lamprier
OffRL
375
29
0
20 Jun 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Neural Information Processing Systems (NeurIPS), 2022
Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
LM&Ro
526
502
0
17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
394
213
0
15 Jun 2022
Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Kushal Chauhan
Soumya Chatterjee
Akash Reddy
Balaraman Ravindran
Pradeep Shenoy
134
0
0
12 Jun 2022
LegoNN: Building Modular Encoder-Decoder Models
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Siddharth Dalmia
Dmytro Okhonko
M. Lewis
Sergey Edunov
Shinji Watanabe
Florian Metze
Luke Zettlemoyer
Abdel-rahman Mohamed
AuLLM
MoE
189
16
0
07 Jun 2022
Hierarchies of Reward Machines
International Conference on Machine Learning (ICML), 2022
Daniel Furelos-Blanco
Mark Law
Anders Jonsson
Krysia Broda
A. Russo
162
11
0
31 May 2022
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Sungryull Sohn
Hyunjae Woo
Jongwook Choi
lyubing qiang
Izzeddin Gur
Aleksandra Faust
Honglak Lee
BDL
OffRL
247
3
0
25 May 2022
Developing cooperative policies for multi-stage reinforcement learning tasks
IEEE Robotics and Automation Letters (RA-L), 2022
J. Erskine
Christopher F. Lehnert
185
12
0
11 May 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
187
8
0
06 May 2022
Training Language Models with Language Feedback
Jérémy Scheurer
Jon Ander Campos
Jun Shern Chan
Angelica Chen
Dong Wang
Ethan Perez
ALM
509
55
0
29 Apr 2022
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics
Artificial Intelligence (AIJ), 2022
Christos K. Verginis
Cevahir Köprülü
Sandeep Chinchali
Ufuk Topcu
236
13
0
20 Apr 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning
Ugo Lecerf
Christelle Yemdji Tchassi
Pietro Michiardi
158
1
0
13 Apr 2022
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies
Duo Xu
Faramarz Fekri
250
3
0
07 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Conference on Robot Learning (CoRL), 2022
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
...
Ted Xiao
Peng Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
595
2,634
0
04 Apr 2022
Learning Parameterized Task Structure for Generalization to Unseen Entities
AAAI Conference on Artificial Intelligence (AAAI), 2022
Anthony Z. Liu
Sungryull Sohn
Mahdi Qazwini
Honglak Lee
250
6
0
28 Mar 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers
Neural Computation (Neural Comput.), 2022
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
Sjoerd van Steenkiste
OffRL
392
19
0
25 Mar 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances
International Conference on Learning Representations (ICLR), 2022
Robby Costales
Shariq Iqbal
Fei Sha
204
5
0
23 Mar 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Yunqiu Xu
Meng Fang
Ling Chen
Yali Du
Qiufeng Wang
Chengqi Zhang
OffRL
224
22
0
20 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
Applied Informatics (AI), 2022
A. Chester
Michael Dann
Fabio Zambetta
John Thangarajah
156
0
0
09 Mar 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference
Transactions of the Association for Computational Linguistics (TACL), 2022
Yufei Feng
Xiaoyu Yang
Xiao-Dan Zhu
Michael A. Greenspan
LRM
NAI
386
14
0
09 Mar 2022
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates
Conference on Robot Learning (CoRL), 2022
Souradeep Dutta
Kaustubh Sridhar
Osbert Bastani
Guang Cheng
James Weimer
Insup Lee
J. Parish-Morris
317
2
0
25 Feb 2022
Grammar-Based Grounded Lexicon Learning
Neural Information Processing Systems (NeurIPS), 2022
Jiayuan Mao
Haoyue Shi
Jiajun Wu
R. Levy
J. Tenenbaum
NAI
226
17
0
17 Feb 2022
ASC me to Do Anything: Multi-task Training for Embodied AI
Jiasen Lu
Jordi Salvador
Roozbeh Mottaghi
Aniruddha Kembhavi
186
3
0
14 Feb 2022
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent
Daoming Lyu
Bo Liu
Jianshu Chen
LRM
261
1
0
01 Feb 2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization
Yihan Li
Jinsheng Ren
Tianrun Xu
Tianren Zhang
Haichuan Gao
Feng Chen
210
1
0
26 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
Frontiers in Neurorobotics (FN), 2021
A. Iyer
Karan Grewal
Akash Velu
Lucas O. Souza
Jérémy Forest
Subutai Ahmad
AI4CE
332
54
0
31 Dec 2021
A Survey on Interpretable Reinforcement Learning
Machine-mediated learning (ML), 2021
Claire Glanois
Paul Weng
Matthieu Zimmer
Dong Li
Zhenxing Ge
Jianye Hao
Wulong Liu
OffRL
330
149
0
24 Dec 2021
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yikai Wang
Gang Hua
Wenbing Huang
Fengxiang He
Dacheng Tao
287
47
0
04 Dec 2021
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines
Xuejing Zheng
Chao Yu
Chong Chen
Jianye Hao
H. Zhuo
CLL
OffRL
158
11
0
18 Nov 2021
Compositional Transformers for Scene Generation
Drew A. Hudson
C. L. Zitnick
ViT
263
35
0
17 Nov 2021
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization
Conference on Robot Learning (CoRL), 2021
Youngwoon Lee
Joseph J. Lim
Anima Anandkumar
Yuke Zhu
OffRL
206
51
0
15 Nov 2021
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning
John Harwell
Angel Sylvester
Aleksi Tukiainen
Enrique Munoz de Cote
237
4
0
23 Oct 2021
Guided Policy Search for Parameterized Skills using Adverbs
Benjamin A. Spiegel
George Konidaris
168
2
0
23 Oct 2021
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
Victor Zhong
Austin W. Hanjie
Sida Wang
Karthik Narasimhan
Luke Zettlemoyer
152
14
0
20 Oct 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
AI4CE
294
21
0
18 Oct 2021
Block Contextual MDPs for Continual Learning
Shagun Sodhani
Franziska Meier
Joelle Pineau
Amy Zhang
CLL
266
33
0
13 Oct 2021
Interactive Hierarchical Guidance using Language
Bharat Prakash
Nicholas R. Waytowich
Tim Oates
T. Mohsenin
LM&Ro
169
9
0
09 Oct 2021
Training Transition Policies via Distribution Matching for Complex Tasks
International Conference on Learning Representations (ICLR), 2021
Ju-Seung Byun
Andrew Perrault
131
6
0
08 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning
Jikun Kang
Miao Liu
Abhinav Gupta
C. Pal
Xue Liu
Jie Fu
297
6
0
06 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies
Jeong-Hoon Lee
Jongeun Choi
388
9
0
05 Oct 2021
Skill Induction and Planning with Latent Language
Pratyusha Sharma
Antonio Torralba
Jacob Andreas
LM&Ro
512
123
0
04 Oct 2021
Formulation and validation of a car-following model based on deep reinforcement learning
Fabian Hart
Ostap Okhrin
M. Treiber
193
30
0
29 Sep 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Yunqiu Xu
Meng Fang
Ling Chen
Yali Du
Chengqi Zhang
AI4CE
185
22
0
21 Sep 2021
Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language
Shuyan Zhou
Pengcheng Yin
Graham Neubig
LM&Ro
240
1
0
16 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&Ro
OffRL
337
182
0
02 Sep 2021
Previous
1
2
3
4
5
6
Next
Page 3 of 6