Multi-Task Deep Reinforcement Learning for Terahertz NOMA Resource Allocation With Hybrid Discrete and Continuous Actions.
Zhifeng HuChong HanYansha DengXudong WangPublished in: IEEE Trans. Veh. Technol. (2024)
Keyphrases
- resource allocation
- multi task
- continuous action
- action space
- reinforcement learning
- transfer learning
- learning problems
- multi task learning
- learning tasks
- state space
- action selection
- multi class
- markov decision processes
- optimal resource allocation
- multiple tasks
- resource allocation problems
- multitask learning
- sparse learning
- reinforcement learning algorithms
- learning agent
- gaussian processes
- allocation problems
- feature selection
- resource allocation decisions
- learning algorithm
- text categorization
- machine learning
- reward function
- information gain
- scarce resources
- learning capabilities
- optimal policy
- semi supervised learning
- learning process
- multi agent
- resource allocation and scheduling