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Learning Modular Neural Network Policies for Multi-Task and Multi-Robot
  Transfer

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer

22 September 2016
Coline Devin
Abhishek Gupta
Trevor Darrell
Pieter Abbeel
Sergey Levine
    OffRL
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Papers citing "Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer"

16 / 16 papers shown
Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
212
4
0
10 Mar 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
126
1
0
03 Jan 2025
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
Georgios Bakirtzis
M. Savvas
Ruihan Zhao
Sandeep Chinchali
Ufuk Topcu
56
2
0
23 Aug 2024
MeMo: Meaningful, Modular Controllers via Noise Injection
MeMo: Meaningful, Modular Controllers via Noise Injection
Megan Tjandrasuwita
Jie Xu
Armando Solar-Lezama
Wojciech Matusik
35
0
0
24 May 2024
Categorical semantics of compositional reinforcement learning
Categorical semantics of compositional reinforcement learning
Georgios Bakirtzis
M. Savvas
Ufuk Topcu
CoGe
58
4
0
29 Aug 2022
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
24
2,428
0
15 Jun 2016
Predicting Personal Traits from Facial Images using Convolutional Neural
  Networks Augmented with Facial Landmark Information
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information
Yoad Lewenberg
Valliappa Chockalingam
Satinder Singh
Honglak Lee
CVBM
29
304
0
29 May 2016
Reuse of Neural Modules for General Video Game Playing
Reuse of Neural Modules for General Video Game Playing
Alexander Braylan
Mark Hollenbeck
Elliot Meyerson
Risto Miikkulainen
11
23
0
04 Dec 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
31
1,367
0
08 Oct 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
97
13,174
0
09 Sep 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
275
9,418
0
28 May 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
136
3,418
0
02 Apr 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
206
6,722
0
19 Feb 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
41
12,163
0
19 Dec 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
55
4,945
0
06 Oct 2013
Accelerating Reinforcement Learning by Composing Solutions of
  Automatically Identified Subtasks
Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks
C. Drummond
OffRL
36
108
0
09 Jun 2011
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