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On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning.
Bharat Prakash
Mark Horton
Nicholas R. Waytowich
William David Hairston
Tim Oates
Tinoosh Mohsenin
Published in:
ACM Great Lakes Symposium on VLSI (2019)
Keyphrases
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reinforcement learning
denoising
database
multi agent
low cost
computationally efficient
embedded systems
function approximation
social networks
case study
multiscale
active learning
hidden markov models
multi agent reinforcement learning