Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach.
Yu Min ParkSheikh Salman HassanYan Kyaw TunEui-Nam HuhWalid SaadChoong Seon HongPublished in: CoRR (2024)
Keyphrases
- indoor environments
- reinforcement learning
- mobile robot
- monocular vision
- path planning
- laser range data
- robotic systems
- function approximation
- fall detection
- indoor localization
- convex optimization
- autonomous mobile robots
- markov decision processes
- convex sets
- navigation tasks
- learning algorithm
- state space
- temporal difference
- optimal policy
- topological map
- image based localization
- machine learning