Deep Recurrent Reinforcement Learning for Partially Observable User Association in a Vertical Heterogenous Network.
Hesam KhoshkbariGeorges KaddoumPublished in: IEEE Commun. Lett. (2023)
Keyphrases
- partially observable
- reinforcement learning
- state space
- partial observability
- markov decision processes
- partially observable environments
- decision problems
- partially observable domains
- dynamical systems
- hidden state
- partial observations
- markov decision problems
- belief state
- action models
- infinite horizon
- reinforcement learning algorithms
- network structure
- fully observable
- function approximation
- temporal difference
- partially observable markov decision processes
- reward function
- model free
- planning domains
- heuristic search
- multi agent