Deep Reinforcement Learning for UAV-Assisted Spectrum Sharing Under Partial Observability.
Sigen ZhangZhe WangGuanyu GaoJun LiJie ZhangZiyan YinPublished in: VTC Fall (2023)
Keyphrases
- partial observability
- reinforcement learning
- partially observable
- symbolic model checking
- planning problems
- markov decision process
- fully observable
- path planning
- belief space
- state space
- learning agent
- partially observable markov decision processes
- multi agent
- function approximation
- model free
- belief state
- partial information
- learning algorithm
- markov decision processes
- dynamic environments
- dynamic programming
- machine learning
- planning under partial observability
- temporal difference
- optimal policy
- supervised learning
- learning process