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2210.08217
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PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
15 October 2022
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
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Papers citing
"PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale"
13 / 13 papers shown
Title
Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
Ayush Jain
Norio Kosaka
Xinhu Li
Kyung-Min Kim
Erdem Bıyık
Joseph J. Lim
OffRL
16
0
0
15 Oct 2024
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey
Dingzhe Li
Yixiang Jin
A. Yong
Hongze Yu
Jun Shi
Xiaoshuai Hao
Peng Hao
Huaping Liu
Fuchun Sun
Bin Fang
AI4CE
LM&Ro
64
12
0
28 Apr 2024
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Yafei Hu
Quanting Xie
Vidhi Jain
Jonathan M Francis
Jay Patrikar
...
Xiaolong Wang
Sebastian A. Scherer
Z. Kira
Fei Xia
Yonatan Bisk
LM&Ro
AI4CE
30
62
0
14 Dec 2023
Deep Predictive Learning: Motion Learning Concept inspired by Cognitive Robotics
Kanata Suzuki
Hiroshi Ito
Tatsuro Yamada
Kei Kase
Tetsuya Ogata
16
12
0
26 Jun 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
Alexander Herzog
Kanishka Rao
Karol Hausman
Yao Lu
Paul Wohlhart
...
Noah Brown
Mrinal Kalakrishnan
Julian Ibarz
P. Pastor
Sergey Levine
OffRL
25
23
0
05 May 2023
RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan
Noah Brown
Justice Carbajal
Yevgen Chebotar
Joseph Dabis
...
Ted Xiao
Peng-Tao Xu
Sichun Xu
Tianhe Yu
Brianna Zitkovich
LM&Ro
11
992
0
13 Dec 2022
An Empirical Investigation of Representation Learning for Imitation
Xin Chen
Sam Toyer
Cody Wild
Scott Emmons
Ian S. Fischer
...
Steven H. Wang
Ping Luo
Stuart J. Russell
Pieter Abbeel
Rohin Shah
AI4TS
26
27
0
16 May 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
...
Ted Xiao
Peng-Tao Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
14
1,810
0
04 Apr 2022
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Yao Lu
Karol Hausman
Yevgen Chebotar
Mengyuan Yan
Eric Jang
...
Ted Xiao
A. Irpan
Mohi Khansari
Dmitry Kalashnikov
Sergey Levine
OffRL
87
60
0
09 Nov 2021
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
54
48
0
27 Sep 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
OffRL
139
461
0
06 Aug 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu
Tsung-Yi Lin
Weicheng Kuo
Yin Cui
VLM
ObjD
223
897
0
28 Apr 2021
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
261
337
0
14 Sep 2020
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