Heterogeneous Flow Scheduling using Deep Reinforcement Learning in Partially Observable NFV Environment.
Chun Jen LinYan LuoLiangmin WangPublished in: NaNA (2021)
Keyphrases
- partially observable
- reinforcement learning
- markov decision processes
- state space
- partially observable environments
- decision problems
- partial observability
- partially observable markov decision process
- partially observable domains
- dynamical systems
- initially unknown
- hidden state
- infinite horizon
- action models
- markov decision problems
- dynamic environments
- learning algorithm
- function approximation
- scheduling problem
- decision processes
- belief state
- partially observable markov decision processes
- model free
- belief space
- heuristic search
- mobile robot
- partial observations
- machine learning
- markov decision process
- state variables
- control system