RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios.
Zhutian ChenDaniele ChiappalupiTica LinYalong YangJohanna BeyerHanspeter PfisterPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- dynamic environments
- class labels
- multi label
- markov decision processes
- learning algorithm
- image labeling
- temporal difference
- learning classifier systems
- optimal control
- state space
- model free
- learning process
- control problems
- neural network
- continuous state
- multi agent reinforcement learning