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MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
v1v2 (latest)

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

16 April 2021
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
    OffRL
ArXiv (abs)PDFHTML

Papers citing "MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale"

24 / 74 papers shown
Title
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
173
1,293
0
07 Nov 2017
Deep Generative Dual Memory Network for Continual Learning
Deep Generative Dual Memory Network for Continual Learning
Nitin Kamra
Umang Gupta
Yan Liu
BDL
54
153
0
28 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
372
2,236
0
22 Sep 2017
One-Shot Visual Imitation Learning via Meta-Learning
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn
Tianhe Yu
Tianhao Zhang
Pieter Abbeel
Sergey Levine
SSL
128
566
0
14 Sep 2017
Distral: Robust Multitask Reinforcement Learning
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh
V. Bapst
Wojciech M. Czarnecki
John Quan
J. Kirkpatrick
R. Hadsell
N. Heess
Razvan Pascanu
178
554
0
13 Jul 2017
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using
  End-To-End Learning from Demonstration
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
Rouhollah Rahmatizadeh
P. Abolghasemi
Ladislau Bölöni
Sergey Levine
105
259
0
10 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
282
2,339
0
05 Jul 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using
  Generative Adversarial Nets
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman
Yevgen Chebotar
S. Schaal
Gaurav Sukhatme
Joseph J. Lim
GAN
76
150
0
30 May 2017
One-Shot Imitation Learning
One-Shot Imitation Learning
Yan Duan
Marcin Andrychowicz
Bradly C. Stadie
Jonathan Ho
Jonas Schneider
Ilya Sutskever
Pieter Abbeel
Wojciech Zaremba
OffRL
86
689
0
21 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
833
11,952
0
09 Mar 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando
Dylan Banarse
Charles Blundell
Yori Zwols
David R Ha
Andrei A. Rusu
Alexander Pritzel
Daan Wierstra
75
881
0
30 Jan 2017
Learning to reinforcement learn
Learning to reinforcement learn
Jane X. Wang
Z. Kurth-Nelson
Dhruva Tirumala
Hubert Soyer
Joel Z Leibo
Rémi Munos
Charles Blundell
D. Kumaran
M. Botvinick
OffRL
97
983
0
17 Nov 2016
Google's Multilingual Neural Machine Translation System: Enabling
  Zero-Shot Translation
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson
M. Schuster
Quoc V. Le
M. Krikun
Yonghui Wu
...
F. Viégas
Martin Wattenberg
Gregory S. Corrado
Macduff Hughes
Jeffrey Dean
131
2,096
0
14 Nov 2016
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
RL2^22: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
105
1,028
0
09 Nov 2016
Deep Visual Foresight for Planning Robot Motion
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn
Sergey Levine
123
788
0
03 Oct 2016
Learning to Push by Grasping: Using multiple tasks for effective
  learning
Learning to Push by Grasping: Using multiple tasks for effective learning
Lerrel Pinto
Abhinav Gupta
70
134
0
28 Sep 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
83
2,465
0
15 Jun 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
103
1,351
0
12 Apr 2016
The Curious Robot: Learning Visual Representations via Physical
  Interactions
The Curious Robot: Learning Visual Representations via Physical Interactions
Lerrel Pinto
Dhiraj Gandhi
Yuanfeng Han
Yong‐Lae Park
Abhinav Gupta
95
186
0
05 Apr 2016
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
OffRL
113
600
0
19 Nov 2015
Policy Distillation
Policy Distillation
Andrei A. Rusu
Sergio Gomez Colmenarejo
Çağlar Gülçehre
Guillaume Desjardins
J. Kirkpatrick
Razvan Pascanu
Volodymyr Mnih
Koray Kavukcuoglu
R. Hadsell
100
696
0
19 Nov 2015
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700
  Robot Hours
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto
Abhinav Gupta
SSL
108
1,152
0
23 Sep 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
315
3,444
0
02 Apr 2015
Learning Parameterized Skills
Learning Parameterized Skills
Bruno C. da Silva
George Konidaris
A. Barto
133
207
0
27 Jun 2012
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