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From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement
  Learning -- Insights from Biological Systems on Adaptive Flexibility

From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility

13 August 2019
M. Schilling
Helge J. Ritter
F. Ohl
    AI4CE
ArXivPDFHTML

Papers citing "From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility"

2 / 2 papers shown
Title
Towards autonomous artificial agents with an active self: modeling sense
  of control in situated action
Towards autonomous artificial agents with an active self: modeling sense of control in situated action
Sebastian Kahl
S. Wiese
Nele Russwinkel
S. Kopp
AI4CE
19
9
0
10 Dec 2021
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive
  Locomotion Controller of a Hexapod Robot
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot
M. Schilling
Kai Konen
F. Ohl
Timo Korthals
41
18
0
21 May 2020
1