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1908.05348
Cited By

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

IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019

13 August 2019

Helge J. Ritter

ArXiv (abs)PDF HTML

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

2 / 2 papers shown

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

Nele Russwinkel

303

16

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

164

23

0

21 May 2020

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