Sample-Efficient Reinforcement Learning for Pose Regulation of a Mobile Robot.

Walter Brescia Luca De Cicco Saverio Mascolo

Published in: ICCAIS (2022)

Keyphrases

mobile robot
reinforcement learning
multi agent
d objects
computationally efficient
obstacle avoidance
function approximation
robot control
indoor environments
path planning
partial occlusion
pose estimation
sample points
sample size
neural network
image sequences
genetic algorithm