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Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning
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Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning

Muhammad Burhan Hafez
C. Weber
Matthias Kerzel
S. Wermter
ArXiv (abs)PDFHTML

Papers citing "Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning"

5 / 5 papers shown
Title
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review
Artem Latyshev
Aleksandr I. Panov
74
1
0
24 Jan 2023
Survey on reinforcement learning for language processing
Survey on reinforcement learning for language processing
Víctor Uc Cetina
Nicolás Navarro-Guerrero
A. Martín-González
C. Weber
S. Wermter
OffRL
92
110
0
12 Apr 2021
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach
Doreen Jirak
David Biertimpel
Matthias Kerzel
S. Wermter
28
12
0
13 Dec 2019
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective
Di Fu
C. Weber
Guochun Yang
Matthias Kerzel
Weizhi Nan
Pablo V. A. Barros
Haiyan Wu
Xun Liu
S. Wermter
30
0
0
05 Sep 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
Muhammad Burhan Hafez
C. Weber
Matthias Kerzel
S. Wermter
32
10
0
05 May 2019