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1910.11956
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Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
25 October 2019
Abhishek Gupta
Vikash Kumar
Corey Lynch
Sergey Levine
Karol Hausman
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Papers citing
"Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning"
50 / 345 papers shown
Title
Retrospectives on the Embodied AI Workshop
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353
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0
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Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
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Kuan Fang
Patrick Yin
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Homer Walke
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Sergey Levine
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263
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Interactive Language: Talking to Robots in Real Time
IEEE Robotics and Automation Letters (RA-L), 2022
Corey Lynch
Ayzaan Wahid
Jonathan Tompson
Tianli Ding
James Betker
Robert Baruch
Travis Armstrong
Peter R. Florence
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266
291
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VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang
Agrim Gupta
Zichen Zhang
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Yongqiang Dou
Yanjun Chen
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Yuke Zhu
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339
467
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06 Oct 2022
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
International Conference on Learning Representations (ICLR), 2022
Yecheng Jason Ma
Shagun Sodhani
Dinesh Jayaraman
Osbert Bastani
Vikash Kumar
Amy Zhang
SSL
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442
383
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30 Sep 2022
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2022
Hsin-Yu Liu
Xiaohan Fu
Bharathan Balaji
Rajesh E. Gupta
Dezhi Hong
OffRL
109
4
0
30 Sep 2022
An Open Tele-Impedance Framework to Generate Data for Contact-Rich Tasks in Robotic Manipulation
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146
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0
21 Sep 2022
Hierarchical Decision Transformer
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
André Rosa de Sousa Porfírio Correia
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280
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Latent Plans for Task-Agnostic Offline Reinforcement Learning
Conference on Robot Learning (CoRL), 2022
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
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253
108
0
19 Sep 2022
Human-Guided Planning for Complex Manipulation Tasks Using the Screw Geometry of Motion
IEEE International Conference on Robotics and Automation (ICRA), 2022
Dasharadhan Mahalingam
N. Chakraborty
164
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13 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
479
0
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Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
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Jordan Terry
M. Innocente
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236
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Learning Dynamic Manipulation Skills from Haptic-Play
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D. Sung
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Choong-Keun Lee
Changwoo Park
Keunjun Choi
264
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Offline Reinforcement Learning at Multiple Frequencies
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Tianhe Yu
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207
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Skill-based Model-based Reinforcement Learning
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Joseph J. Lim
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319
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Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
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Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRL
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220
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Behavior Transformers: Cloning
k
k
k
modes with one stone
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Ariuntuya Altanzaya
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281
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Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti
Matéo Mahaut
Pierre-Yves Oudeyer
Ida Momennejad
Clément Moulin-Frier
240
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0
10 Jun 2022
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
Conference on Robot Learning (CoRL), 2022
Yanwei Wang
Nadia Figueroa
Shen Li
Ankit J. Shah
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238
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Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Andrew C. Li
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
LRM
99
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Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL
Wonjoon Goo
S. Niekum
OffRL
222
23
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Training and Inference on Any-Order Autoregressive Models the Right Way
Neural Information Processing Systems (NeurIPS), 2022
Andy Shih
Dorsa Sadigh
Stefano Ermon
BDL
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OOD
CML
206
47
0
26 May 2022
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L), 2022
Jinning Li
Chen Tang
Masayoshi Tomizuka
Wei Zhan
OffRL
264
68
0
24 May 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
OffRL
224
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0
17 May 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals
International Conference on Automation, Robotics and Applications (ICARA), 2022
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
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OffRL
260
1
0
16 May 2022
Developing cooperative policies for multi-stage reinforcement learning tasks
IEEE Robotics and Automation Letters (RA-L), 2022
J. Erskine
Christopher F. Lehnert
145
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Skill-based Meta-Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Taewook Nam
Shao-Hua Sun
Karl Pertsch
Sung Ju Hwang
Joseph J. Lim
OffRL
155
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25 Apr 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Conference on Learning for Dynamics & Control (L4DC), 2022
Yuchen Cui
S. Niekum
Abhi Gupta
Vikash Kumar
Aravind Rajeswaran
LM&Ro
174
89
0
23 Apr 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2022
Abhishek Gupta
Corey Lynch
Brandon Kinman
Garrett Peake
Sergey Levine
Karol Hausman
OffRL
198
20
0
29 Mar 2022
R3M: A Universal Visual Representation for Robot Manipulation
Conference on Robot Learning (CoRL), 2022
Suraj Nair
Aravind Rajeswaran
Vikash Kumar
Chelsea Finn
Abhi Gupta
LM&Ro
339
751
0
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Explicit User Manipulation in Reinforcement Learning Based Recommender Systems
Matthew Sparr
OffRL
141
0
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20 Mar 2022
An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications
IEEE Access (IEEE Access), 2022
Kazuki Hayashi
S. Sakaino
T. Tsuji
120
17
0
16 Mar 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Byron David
S. Gu
Satoshi Kataoka
Igor Mordatch
OffRL
315
30
0
15 Mar 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play
Conference on Robot Learning (CoRL), 2022
Suneel Belkhale
Dorsa Sadigh
OffRL
148
15
0
10 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
International Conference on Machine Learning (ICML), 2022
Simone Parisi
Aravind Rajeswaran
Senthil Purushwalkam
Abhinav Gupta
LM&Ro
274
221
0
07 Mar 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Rafael Figueiredo Prudencio
Marcos R. O. A. Máximo
Esther Luna Colombini
OffRL
438
329
0
02 Mar 2022
A Versatile Agent for Fast Learning from Human Instructors
Yiwen Chen
Zedong Zhang
Hao-Kang Liu
Jiayi Tan
C. Chew
Marcelo H. Ang Jr
122
0
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01 Mar 2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
International Conference on Learning Representations (ICLR), 2022
Desik Rengarajan
G. Vaidya
Akshay Sarvesh
D. Kalathil
S. Shakkottai
OffRL
200
75
0
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Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
International Conference on Machine Learning (ICML), 2022
Yecheng Jason Ma
Andrew Shen
Dinesh Jayaraman
Osbert Bastani
OffRL
297
46
0
04 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
158
9
0
28 Jan 2022
RvS: What is Essential for Offline RL via Supervised Learning?
International Conference on Learning Representations (ICLR), 2021
Scott Emmons
Benjamin Eysenbach
Ilya Kostrikov
Sergey Levine
OffRL
280
211
0
20 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking
International Conference on Learning Representations (ICLR), 2021
Archit Sharma
Kelvin Xu
Nikhil Sardana
Abhishek Gupta
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
220
32
0
17 Dec 2021
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning
Trevor Ablett
Bryan Chan
Jonathan Kelly
253
4
0
16 Dec 2021
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev
Oleg O. Sushkov
Jean-Baptiste Regli
S. Schaal
Y. Aytar
Markus Wulfmeier
Jonathan Scholz
194
19
0
01 Dec 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Conference on Robot Learning (CoRL), 2021
Norman Di Palo
Edward Johns
SSL
153
30
0
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Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Neural Information Processing Systems (NeurIPS), 2021
Murtaza Dalal
Deepak Pathak
Ruslan Salakhutdinov
350
112
0
28 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
International Conference on Learning Representations (ICLR), 2021
Tianjun Zhang
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
Joseph E. Gonzalez
OffRL
203
18
0
22 Oct 2021
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi
Léonard Hussenot
Damien Vincent
Sertan Girgin
Anton Raichuk
Matthieu Geist
Olivier Pietquin
OffRL
161
30
0
19 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers
Eliot Xing
Eric Kolve
Roozbeh Mottaghi
Abhinav Gupta
OffRL
291
44
0
19 Oct 2021
Discovering and Achieving Goals via World Models
Russell Mendonca
Oleh Rybkin
Kostas Daniilidis
Danijar Hafner
Deepak Pathak
278
157
0
18 Oct 2021
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