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2004.06089
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Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
International Conference on Learning Representations (ICLR), 2020
13 April 2020
Ted Xiao
Eric Jang
Dmitry Kalashnikov
Sergey Levine
Julian Ibarz
Karol Hausman
Alexander Herzog
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Papers citing
"Thinking While Moving: Deep Reinforcement Learning with Concurrent Control"
26 / 26 papers shown
RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms
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Ibrahim Laiche
Clément Rambour
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Nicolas Thome
138
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Real-Time Execution of Action Chunking Flow Policies
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Manuel Y. Galliker
Sergey Levine
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Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
Boyuan Deng
Luca Rossini
Jin Wang
Weijie Wang
Dimitrios Kanoulas
Nikolaos Tsagarakis
190
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05 Jun 2025
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays
Bo Xia
Yilun Kong
Yongzhe Chang
Bo Yuan
Zhiheng Li
Xueqian Wang
Bin Liang
OffRL
321
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05 Jun 2024
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Conference on Robot Learning (CoRL), 2023
Yevgen Chebotar
Q. Vuong
A. Irpan
Karol Hausman
F. Xia
...
Brianna Zitkovich
Tomas Jackson
Kanishka Rao
Chelsea Finn
Sergey Levine
OffRL
444
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18 Sep 2023
Sim-to-real transfer of active suspension control using deep reinforcement learning
Viktor Wiberg
Erik Wallin
Arvid Fälldin
Tobias Semberg
Morgan Rossander
E. Wadbro
Martin Servin
429
21
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19 Jun 2023
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Ziyang Zhang
Yang Zhao
Huan Li
Changyao Lin
Jie Liu
352
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0
02 Jun 2023
RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan
Noah Brown
Justice Carbajal
Yevgen Chebotar
Joseph Dabis
...
Ted Xiao
Peng Xu
Sichun Xu
Tianhe Yu
Brianna Zitkovich
LM&Ro
673
2,067
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13 Dec 2022
Dynamic Decision Frequency with Continuous Options
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Amir-Hossein Karimi
Jun Jin
Jun Luo
A. R. Mahmood
Martin Jägersand
Samuele Tosatto
333
10
0
06 Dec 2022
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
Ted Xiao
Harris Chan
P. Sermanet
Ayzaan Wahid
Anthony Brohan
Karol Hausman
Sergey Levine
Jonathan Tompson
VLM
LM&Ro
493
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21 Nov 2022
Token Turing Machines
Computer Vision and Pattern Recognition (CVPR), 2022
Michael S. Ryoo
K. Gopalakrishnan
Kumara Kahatapitiya
Ted Xiao
Kanishka Rao
Austin Stone
Yao Lu
Julian Ibarz
Anurag Arnab
317
31
0
16 Nov 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Conference on Robot Learning (CoRL), 2022
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
414
11
0
15 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Tianli Ding
L. Graesser
Saminda Abeyruwan
David B. DÁmbrosio
Anish Shankar
P. Sermanet
Pannag R Sanketi
Corey Lynch
432
28
0
07 Oct 2022
Offline Reinforcement Learning at Multiple Frequencies
Conference on Robot Learning (CoRL), 2022
Kaylee Burns
Tianhe Yu
Chelsea Finn
Karol Hausman
OffRL
253
6
0
26 Jul 2022
Inner Monologue: Embodied Reasoning through Planning with Language Models
Conference on Robot Learning (CoRL), 2022
Wenlong Huang
F. Xia
Ted Xiao
Harris Chan
Jacky Liang
...
Tomas Jackson
Linda Luu
Sergey Levine
Karol Hausman
Brian Ichter
LLMAG
LM&Ro
LRM
586
1,279
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12 Jul 2022
Off-Beat Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Wei Qiu
Weixun Wang
Rongpin Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
232
2
0
27 May 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
728
2,929
0
04 Apr 2022
Non-Parametric Stochastic Policy Gradient with Strategic Retreat for Non-Stationary Environment
Apan Dastider
Mingjie Lin
259
2
0
24 Mar 2022
Multiscale Sensor Fusion and Continuous Control with Neural CDEs
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Sumeet Singh
Francis McCann Ramirez
Jacob Varley
Andy Zeng
Vikas Sindhwani
280
5
0
16 Mar 2022
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization
C. Imai
Minghao Zhang
Yuchen Zhang
Marcin Kierebinski
Ruihan Yang
Yuzhe Qin
Xiaolong Wang
368
42
0
29 Sep 2021
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Somjit Nath
Mayank Baranwal
H. Khadilkar
OffRL
278
33
0
17 Aug 2021
Unsupervised Domain Adaptation of Object Detectors: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OOD
ObjD
366
282
0
27 May 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
490
652
0
04 Feb 2021
Acting in Delayed Environments with Non-Stationary Markov Policies
International Conference on Learning Representations (ICLR), 2021
E. Derman
Gal Dalal
Shie Mannor
268
40
0
28 Jan 2021
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
Hangtian Jia
Yujing Hu
Yingfeng Chen
Chunxu Ren
Tangjie Lv
Changjie Fan
Chongjie Zhang
282
25
0
06 Dec 2020
Reinforcement Learning with Random Delays
Simon Ramstedt
Yann Bouteiller
Giovanni Beltrame
C. Pal
Jonathan Binas
531
79
0
06 Oct 2020
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