ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.06089
  4. Cited By
Thinking While Moving: Deep Reinforcement Learning with Concurrent
  Control

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control

13 April 2020
Ted Xiao
Eric Jang
Dmitry Kalashnikov
Sergey Levine
Julian Ibarz
Karol Hausman
Alexander Herzog
ArXivPDFHTML

Papers citing "Thinking While Moving: Deep Reinforcement Learning with Concurrent Control"

15 / 15 papers shown
Title
DEER: A Delay-Resilient Framework for Reinforcement Learning with
  Variable Delays
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
65
3
0
05 Jun 2024
Sim-to-real transfer of active suspension control using deep
  reinforcement learning
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
41
7
0
19 Jun 2023
Dynamic Decision Frequency with Continuous Options
Dynamic Decision Frequency with Continuous Options
Amir-Hossein Karimi
Jun Jin
Jun Luo
A. R. Mahmood
Martin Jägersand
Samuele Tosatto
23
9
0
06 Dec 2022
Token Turing Machines
Token Turing Machines
Michael S. Ryoo
K. Gopalakrishnan
Kumara Kahatapitiya
Ted Xiao
Kanishka Rao
Austin Stone
Yao Lu
Julian Ibarz
Anurag Arnab
29
21
0
16 Nov 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic
  Reinforcement Learning at Scale
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
64
10
0
15 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Tianli Ding
L. Graesser
Saminda Abeyruwan
David B. DÁmbrosio
Anish Shankar
P. Sermanet
Pannag R Sanketi
Corey Lynch
59
21
0
07 Oct 2022
Offline Reinforcement Learning at Multiple Frequencies
Offline Reinforcement Learning at Multiple Frequencies
Kaylee Burns
Tianhe Yu
Chelsea Finn
Karol Hausman
OffRL
50
6
0
26 Jul 2022
Inner Monologue: Embodied Reasoning through Planning with Language
  Models
Inner Monologue: Embodied Reasoning through Planning with Language Models
Wenlong Huang
F. Xia
Ted Xiao
Harris Chan
Jacky Liang
...
Tomas Jackson
Linda Luu
Sergey Levine
Karol Hausman
Brian Ichter
LLMAG
LM&Ro
LRM
51
873
0
12 Jul 2022
Off-Beat Multi-Agent Reinforcement Learning
Off-Beat Multi-Agent Reinforcement Learning
Wei Qiu
Weixun Wang
Rongpin Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
33
2
0
27 May 2022
Multiscale Sensor Fusion and Continuous Control with Neural CDEs
Multiscale Sensor Fusion and Continuous Control with Neural CDEs
Sumeet Singh
Francis McCann Ramirez
Jacob Varley
Andy Zeng
Vikas Sindhwani
60
3
0
16 Mar 2022
Revisiting State Augmentation methods for Reinforcement Learning with
  Stochastic Delays
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Somjit Nath
Mayank Baranwal
H. Khadilkar
OffRL
43
28
0
17 Aug 2021
Unsupervised Domain Adaptation of Object Detectors: A Survey
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OOD
ObjD
48
170
0
27 May 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
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
35
521
0
04 Feb 2021
Acting in Delayed Environments with Non-Stationary Markov Policies
Acting in Delayed Environments with Non-Stationary Markov Policies
E. Derman
Gal Dalal
Shie Mannor
32
34
0
28 Jan 2021
Reinforcement Learning with Random Delays
Reinforcement Learning with Random Delays
Simon Ramstedt
Yann Bouteiller
Giovanni Beltrame
C. Pal
Jonathan Binas
138
59
0
06 Oct 2020
1