Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning.

Zhong Cao Shaobing Xu Songan Zhang Huei Peng Diange Yang

Published in: CoRR (2020)

Keyphrases

autonomous vehicles
reinforcement learning
optimal policy
policy search
path planning
actor critic
robot control

function approximation
control policy
action selection
policy gradient
obstacle avoidance
machine learning
structured environments

real time
reward function
reinforcement learning algorithms
temporal difference
markov decision processes
multiagent systems
state space

partially observable markov decision processes
function approximators
urban traffic
dynamic programming
expert systems
neural network