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Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator.
Xincheng Feng
Guodong Shen
Jianhao Hu
Meng Li
Ngai Wong
Published in:
CoRR (2024)
Keyphrases
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finite state machines
function approximators
function approximation
state transition
model checking
reinforcement learning
neural network
temporal difference
reinforcement learning problems
temporal difference methods
hidden markov models
monte carlo
learning tasks
artificial neural networks