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Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and
  Reinforcement Learning

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
ArXiv (abs)PDFHTML

Papers citing "Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning"

50 / 345 papers shown
Retrospectives on the Embodied AI Workshop
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Dhruv Batra
Yonatan Bisk
Tommaso Campari
Angel X. Chang
...
Jesse Thomason
Alexander Toshev
Joanne Truong
Luca Weihs
Jiajun Wu
LM&Ro
364
53
0
13 Oct 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for
  Learning Visuomotor Tasks
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor TasksConference on Robot Learning (CoRL), 2022
Kuan Fang
Patrick Yin
Ashvin Nair
Homer Walke
Ge Yan
Sergey Levine
OffRL
287
32
0
12 Oct 2022
Interactive Language: Talking to Robots in Real Time
Interactive Language: Talking to Robots in Real TimeIEEE Robotics and Automation Letters (RA-L), 2022
Corey Lynch
Ayzaan Wahid
Jonathan Tompson
Tianli Ding
James Betker
Robert Baruch
Travis Armstrong
Peter R. Florence
LM&Ro
295
291
0
12 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts
VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang
Agrim Gupta
Zichen Zhang
Guanzhi Wang
Yongqiang Dou
Yanjun Chen
Li Fei-Fei
Anima Anandkumar
Yuke Zhu
Linxi Fan
LM&Ro
383
472
0
06 Oct 2022
VIP: Towards Universal Visual Reward and Representation via
  Value-Implicit Pre-Training
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-TrainingInternational Conference on Learning Representations (ICLR), 2022
Yecheng Jason Ma
Shagun Sodhani
Dinesh Jayaraman
Osbert Bastani
Vikash Kumar
Amy Zhang
SSLOffRL
475
383
0
30 Sep 2022
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
B2RL: An open-source Dataset for Building Batch Reinforcement LearningInternational Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2022
Hsin-Yu Liu
Xiaohan Fu
Bharathan Balaji
Rajesh E. Gupta
Dezhi Hong
OffRL
117
4
0
30 Sep 2022
An Open Tele-Impedance Framework to Generate Data for Contact-Rich Tasks
  in Robotic Manipulation
An Open Tele-Impedance Framework to Generate Data for Contact-Rich Tasks in Robotic ManipulationWorkshop on Advanced Robotics and its Social Impacts (ARISI), 2022
A. Giammarino
J. Gandarias
Arash Ajoudani
151
4
0
21 Sep 2022
Hierarchical Decision Transformer
Hierarchical Decision TransformerIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
André Rosa de Sousa Porfírio Correia
L. A. Alexandre
OffRL
288
18
0
21 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Latent Plans for Task-Agnostic Offline Reinforcement LearningConference on Robot Learning (CoRL), 2022
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
268
108
0
19 Sep 2022
Human-Guided Planning for Complex Manipulation Tasks Using the Screw
  Geometry of Motion
Human-Guided Planning for Complex Manipulation Tasks Using the Screw Geometry of MotionIEEE International Conference on Robotics and Automation (ICRA), 2022
Dasharadhan Mahalingam
N. Chakraborty
178
8
0
13 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New TasksIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
533
0
0
09 Sep 2022
Some Supervision Required: Incorporating Oracle Policies in
  Reinforcement Learning via Epistemic Uncertainty Metrics
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
Jun Jet Tai
Jordan Terry
M. Innocente
J. Brusey
N. Horri
267
3
0
22 Aug 2022
Learning Dynamic Manipulation Skills from Haptic-Play
Learning Dynamic Manipulation Skills from Haptic-Play
Taeyoon Lee
D. Sung
Kyoung-Whan Choi
Choong-Keun Lee
Changwoo Park
Keunjun Choi
278
3
0
28 Jul 2022
Offline Reinforcement Learning at Multiple Frequencies
Offline Reinforcement Learning at Multiple FrequenciesConference on Robot Learning (CoRL), 2022
Kaylee Burns
Tianhe Yu
Chelsea Finn
Karol Hausman
OffRL
216
6
0
26 Jul 2022
Skill-based Model-based Reinforcement Learning
Skill-based Model-based Reinforcement LearningConference on Robot Learning (CoRL), 2022
Lu Shi
Joseph J. Lim
Youngwoon Lee
340
55
0
15 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic
  Reinforcement Learning
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement LearningConference on Robot Learning (CoRL), 2022
Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRLOnRL
244
37
0
11 Jul 2022
Behavior Transformers: Cloning $k$ modes with one stone
Behavior Transformers: Cloning kkk modes with one stoneNeural Information Processing Systems (NeurIPS), 2022
Nur Muhammad (Mahi) Shafiullah
Zichen Jeff Cui
Ariuntuya Altanzaya
Lerrel Pinto
OffRL
312
335
0
22 Jun 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL
  with SAPIENS
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti
Matéo Mahaut
Pierre-Yves Oudeyer
Ida Momennejad
Clément Moulin-Frier
271
11
0
10 Jun 2022
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from
  Demonstrations
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from DemonstrationsConference on Robot Learning (CoRL), 2022
Yanwei Wang
Nadia Figueroa
Shen Li
Ankit J. Shah
J. Shah
257
26
0
09 Jun 2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Andrew C. Li
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRLLRM
134
5
0
03 Jun 2022
Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in
  Offline RL
Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL
Wonjoon Goo
S. Niekum
OffRL
230
23
0
01 Jun 2022
Training and Inference on Any-Order Autoregressive Models the Right Way
Training and Inference on Any-Order Autoregressive Models the Right WayNeural Information Processing Systems (NeurIPS), 2022
Andy Shih
Dorsa Sadigh
Stefano Ermon
BDLTPMOODCML
228
47
0
26 May 2022
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement
  Learning
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2022
Jinning Li
Chen Tang
Masayoshi Tomizuka
Wei Zhan
OffRL
277
68
0
24 May 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in
  Latent Space
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent SpaceIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kuan Fang
Patrick Yin
Ashvin Nair
Sergey Levine
OffRL
247
40
0
17 May 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals
Generalizing to New Tasks via One-Shot Compositional SubgoalsInternational Conference on Automation, Robotics and Applications (ICARA), 2022
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
CLLOffRL
263
1
0
16 May 2022
Developing cooperative policies for multi-stage reinforcement learning
  tasks
Developing cooperative policies for multi-stage reinforcement learning tasksIEEE Robotics and Automation Letters (RA-L), 2022
J. Erskine
Christopher F. Lehnert
176
12
0
11 May 2022
Skill-based Meta-Reinforcement Learning
Skill-based Meta-Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
Taewook Nam
Shao-Hua Sun
Karl Pertsch
Sung Ju Hwang
Joseph J. Lim
OffRL
157
53
0
25 Apr 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot
  Manipulation?
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
188
89
0
23 Apr 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task
  Reinforcement Learning
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2022
Abhishek Gupta
Corey Lynch
Brandon Kinman
Garrett Peake
Sergey Levine
Karol Hausman
OffRL
208
20
0
29 Mar 2022
R3M: A Universal Visual Representation for Robot Manipulation
R3M: A Universal Visual Representation for Robot ManipulationConference on Robot Learning (CoRL), 2022
Suraj Nair
Aravind Rajeswaran
Vikash Kumar
Chelsea Finn
Abhi Gupta
LM&Ro
367
755
0
23 Mar 2022
Explicit User Manipulation in Reinforcement Learning Based Recommender
  Systems
Explicit User Manipulation in Reinforcement Learning Based Recommender Systems
Matthew Sparr
OffRL
175
0
0
20 Mar 2022
An Independently Learnable Hierarchical Model for Bilateral
  Control-Based Imitation Learning Applications
An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning ApplicationsIEEE Access (IEEE Access), 2022
Kazuki Hayashi
S. Sakaino
T. Tsuji
139
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16 Mar 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured
  Reinforcement Learning
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Byron David
S. Gu
Satoshi Kataoka
Igor Mordatch
OffRL
317
30
0
15 Mar 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play
PLATO: Predicting Latent Affordances Through Object-Centric PlayConference on Robot Learning (CoRL), 2022
Suneel Belkhale
Dorsa Sadigh
OffRL
198
15
0
10 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
The Unsurprising Effectiveness of Pre-Trained Vision Models for ControlInternational Conference on Machine Learning (ICML), 2022
Simone Parisi
Aravind Rajeswaran
Senthil Purushwalkam
Abhinav Gupta
LM&Ro
296
221
0
07 Mar 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open
  Problems
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open ProblemsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Rafael Figueiredo Prudencio
Marcos R. O. A. Máximo
Esther Luna Colombini
OffRL
485
334
0
02 Mar 2022
A Versatile Agent for Fast Learning from Human Instructors
A Versatile Agent for Fast Learning from Human Instructors
Yiwen Chen
Zedong Zhang
Hao-Kang Liu
Jiayi Tan
C. Chew
Marcelo H. Ang Jr
123
0
0
01 Mar 2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline
  Demonstration
Reinforcement Learning with Sparse Rewards using Guidance from Offline DemonstrationInternational Conference on Learning Representations (ICLR), 2022
Desik Rengarajan
G. Vaidya
Akshay Sarvesh
D. Kalathil
S. Shakkottai
OffRL
237
76
0
09 Feb 2022
Versatile Offline Imitation from Observations and Examples via
  Regularized State-Occupancy Matching
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy MatchingInternational Conference on Machine Learning (ICML), 2022
Yecheng Jason Ma
Andrew Shen
Dinesh Jayaraman
Osbert Bastani
OffRL
323
46
0
04 Feb 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
178
9
0
28 Jan 2022
RvS: What is Essential for Offline RL via Supervised Learning?
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
314
212
0
20 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking
Autonomous Reinforcement Learning: Formalism and BenchmarkingInternational Conference on Learning Representations (ICLR), 2021
Archit Sharma
Kelvin Xu
Nikhil Sardana
Abhishek Gupta
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Chelsea Finn
OffRL
227
34
0
17 Dec 2021
Learning from Guided Play: A Scheduled Hierarchical Approach for
  Improving Exploration in Adversarial Imitation Learning
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning
Trevor Ablett
Bryan Chan
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274
4
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Wish you were here: Hindsight Goal Selection for long-horizon dexterous
  manipulation
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Oleg O. Sushkov
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220
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Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Learning Multi-Stage Tasks with One Demonstration via Self-ReplayConference on Robot Learning (CoRL), 2021
Norman Di Palo
Edward Johns
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191
30
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Accelerating Robotic Reinforcement Learning via Parameterized Action
  Primitives
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Murtaza Dalal
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372
113
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C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
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208
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Continuous Control with Action Quantization from Demonstrations
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Robert Dadashi
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180
30
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CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual
  Reinforcement Learning Agents
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Sam Powers
Eliot Xing
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Abhinav Gupta
OffRL
323
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Discovering and Achieving Goals via World Models
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Russell Mendonca
Oleh Rybkin
Kostas Daniilidis
Danijar Hafner
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287
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