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Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification.
Yiming Meng
Ruikun Zhou
Amartya Mukherjee
Maxwell Fitzsimmons
Christopher Song
Jun Liu
Published in:
CoRR (2024)
Keyphrases
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policy iteration
neural network
stochastic approximation
convergence rate
markov decision processes
reinforcement learning
model free
convergence analysis
artificial neural networks
linear programming
differential evolution
finite state
factored mdps