PI-ELM: Reinforcement learning-based adaptable policy improvement for dynamical system.

Yingbai Hu Xu Wang Yueyue Liu Weiping Ding Alois Knoll

Published in: Inf. Sci. (2023)

Keyphrases

dynamical systems
partially observable
reinforcement learning
state space
optimal policy
reinforcement learning methods
partially observable markov decision processes
reinforcement learning problems
policy search

differential equations
markov decision problems
hidden state
markov decision process
phase space
dynamic systems
action selection
nonlinear dynamical systems
reward function

continuous state
dynamical behavior
action space
infinite horizon
policy gradient
markov decision processes
function approximation
extreme learning machine

neural network
predictive state representations
policy iteration
policy evaluation
reinforcement learning algorithms
average reward
dynamic programming
immune network