Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning.

Jueming Hu Xuxi Yang Weichang Wang Peng Wei Lei Ying Yongming Liu

Published in: CoRR (2021)

Keyphrases

action space
obstacle avoidance
reinforcement learning
mobile robot
state space
path planning
markov decision processes
state and action spaces
real valued

continuous state
continuous state spaces
visually guided
action selection
reinforcement learning methods
stochastic processes
motion planning
autonomous vehicles

state action
reinforcement learning algorithms
markov decision process
continuous action
function approximators
function approximation
single agent
model free

optimal policy
markov decision problems
learning algorithm
dynamic environments
dynamic programming
policy search
multi agent
machine learning