Reconfigurable Embedded Devices Using Reinforcement Learning to Develop Action-Policies.

Alwyn Burger David W. King Gregor Schiele

Published in: ACSOS (2020)

Keyphrases

embedded devices
reinforcement learning
optimal policy
embedded systems
mobile devices
action selection
low cost
markov decision processes
finite state
state space
bayesian networks
software engineering
management system
reward function
limited memory
policy search
fitted q iteration