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EasyRL: A Simple and Extensible Reinforcement Learning Framework.
Neil Hulbert
Sam Spillers
Brandon Francis
James Haines-Temons
Ken Gil Romero
Benjamin De Jager
Sam Wong
Kevin Flora
Bowei Huang
Athirai A. Irissappane
Published in:
CoRR (2020)
Keyphrases
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reinforcement learning
main contribution
data types
framework enables
case study
least squares
function approximation
markov decision processes
theoretical framework
lightweight
supervised learning
data sets
hidden markov models
support vector
information systems
learning algorithm
real world