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Learning to Push by Grasping: Using multiple tasks for effective
  learning

Learning to Push by Grasping: Using multiple tasks for effective learning

28 September 2016
Lerrel Pinto
Abhinav Gupta
ArXivPDFHTML

Papers citing "Learning to Push by Grasping: Using multiple tasks for effective learning"

29 / 29 papers shown
Title
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity
Dazhong Rong
Hao Dong
Xing Gao
Jiyu Wei
Di Hong
Yaoyao Hao
Qinming He
Yishuo Wang
28
0
0
13 May 2025
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on
  Light-Weighed Backbones and Effective Measurement of Multi-Task Learning
  Challenges by Feature Disentanglement
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao
Yuhao Chen
Yifan Wu
Maximilian Gilles
Alexander Wong
AAML
41
0
0
05 Feb 2024
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation
  Learning
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
Zhao Mandi
Homanga Bharadhwaj
Vincent Moens
Shuran Song
Aravind Rajeswaran
Vikash Kumar
LM&Ro
28
68
0
12 Dec 2022
Fast Inference and Transfer of Compositional Task Structures for
  Few-shot Task Generalization
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization
Sungryull Sohn
Hyunjae Woo
Jongwook Choi
lyubing qiang
Izzeddin Gur
Aleksandra Faust
Honglak Lee
BDL
OffRL
31
3
0
25 May 2022
Learning Multi-Objective Curricula for Robotic Policy Learning
Learning Multi-Objective Curricula for Robotic Policy Learning
Jikun Kang
Miao Liu
Abhinav Gupta
C. Pal
Xue Liu
Jie Fu
39
4
0
06 Oct 2021
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task
  Learning
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning
M. Crawshaw
Jana Kosecka
26
7
0
16 Sep 2021
The Functional Correspondence Problem
The Functional Correspondence Problem
Zihang Lai
Senthil Purushwalkam
Abhinav Gupta
38
13
0
02 Sep 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
47
271
0
16 Apr 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with
  Hypernetworks
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian
Shamit Lal
H. Tung
Emmanouil Antonios Platanios
Katerina Fragkiadaki
AI4CE
33
23
0
17 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
34
41
0
05 Mar 2021
Adaptable Automation with Modular Deep Reinforcement Learning and Policy
  Transfer
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Zohreh Raziei
Mohsen Moghaddam
26
25
0
27 Nov 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
48
609
0
10 Sep 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSL
DRL
35
298
0
13 Aug 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
27
175
0
30 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer
Hierarchically Decoupled Imitation for Morphological Transfer
D. Hejna
Pieter Abbeel
Lerrel Pinto
LM&Ro
20
40
0
03 Mar 2020
A Deep Learning Approach to Grasping the Invisible
A Deep Learning Approach to Grasping the Invisible
Yang Yang
Hengyue Liang
Changhyun Choi
24
94
0
11 Sep 2019
DensePhysNet: Learning Dense Physical Object Representations via
  Multi-step Dynamic Interactions
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Zhenjia Xu
Jiajun Wu
Andy Zeng
J. Tenenbaum
Shuran Song
AI4CE
15
111
0
10 Jun 2019
Material Segmentation of Multi-View Satellite Imagery
Material Segmentation of Multi-View Satellite Imagery
Matthew Purri
Jia Xue
Kristin J. Dana
Matthew J. Leotta
Dan R. Lipsa
Zhixin Li
Bo Xu
J. Shan
27
8
0
17 Apr 2019
Robot Learning via Human Adversarial Games
Robot Learning via Human Adversarial Games
Jiali Duan
Qian Wang
Lerrel Pinto
C.-C. Jay Kuo
Stefanos Nikolaidis
AAML
SSL
16
7
0
02 Mar 2019
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Tao Chen
Adithyavairavan Murali
Abhinav Gupta
13
101
0
24 Nov 2018
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data
  for Imitation
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation
Pratyusha Sharma
Lekha Mohan
Lerrel Pinto
Abhinav Gupta
23
119
0
16 Oct 2018
Energy-Based Hindsight Experience Prioritization
Energy-Based Hindsight Experience Prioritization
Rui Zhao
Volker Tresp
11
74
0
02 Oct 2018
Learning Actionable Representations from Visual Observations
Learning Actionable Representations from Visual Observations
Debidatta Dwibedi
Jonathan Tompson
Corey Lynch
P. Sermanet
SSL
22
80
0
02 Aug 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset
  Bias
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Abhinav Gupta
Adithyavairavan Murali
Dhiraj Gandhi
Lerrel Pinto
11
152
0
18 Jul 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement
  Learning
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach
S. Gu
Julian Ibarz
Sergey Levine
CLL
37
137
0
18 Nov 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled
  Images
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images
Avi Singh
Larry Yang
Sergey Levine
22
23
0
07 Aug 2017
CASSL: Curriculum Accelerated Self-Supervised Learning
CASSL: Curriculum Accelerated Self-Supervised Learning
Adithyavairavan Murali
Lerrel Pinto
Dhiraj Gandhi
Abhinav Gupta
SSL
14
35
0
04 Aug 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
48
2,293
0
05 Jul 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep
  Reinforcement Learning
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning
David Isele
Reza Rahimi
Akansel Cosgun
K. Subramanian
K. Fujimura
18
137
0
02 May 2017
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