Reinforcement Learning for Autonomous UAV Navigation Using Function Approximation.

Huy Xuan Pham Hung Manh La David Feil-Seifer Luan Van Nguyen

Published in: SSRR (2018)

Keyphrases

function approximation
reinforcement learning
unmanned aerial vehicles
state action space
temporal difference
mountain car
model free
tile coding

temporal difference learning
temporal difference learning algorithms
radial basis function
reinforcement learning algorithms
path planning
function approximators
state space
learning tasks

control algorithm
markov decision processes
dynamic programming
td learning
robotic systems
supervised learning
multi agent
decision trees

machine learning
dynamic environments
optimal policy
learning process
policy evaluation
learning algorithm
genetic algorithm