IEEE - Institute of Electrical and Electronics Engineers, Inc. - A 55-nm, 1.0-0.4V, 1.25-pJ/MAC Time-Domain Mixed-Signal Neuromorphic Accelerator With Stochastic Synapses for Reinforcement Learning in Autonomous Mobile Robots

Author(s): Anvesha Amaravati ; Saad Bin Nasir ; Justin Ting ; Insik Yoon ; Arijit Raychowdhury
Sponsor(s): IEEE Solid-State Circuits Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1 - 13
ISSN (Electronic): 1558-173X
ISSN (Paper): 0018-9200
DOI: 10.1109/JSSC.2018.2881288
Regular:

Reinforcement learning (RL) is a bio-mimetic learning approach, where agents can learn about an environment by performing specific tasks without any human supervision. RL is inspired by behavioral... View More

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