Biologically inspired architectures for sample-efficient deep reinforcement learning.

Pierre H. Richemond Arinbjörn Kolbeinsson Yike Guo

Published in: CoRR (2019)

Keyphrases

biologically inspired
reinforcement learning
receptive fields
learning rules
biologically plausible
scene classification
machine learning
biological systems
sensory inputs
potential field
recurrent networks
complex systems
markov decision processes
spatial and temporal
humanoid robot
motor control