Jamming Policy Generation via Heuristic Programming Reinforcement Learning.
Yujie ZhangWeibo HuoYulin HuangCui ZhangJifang PeiYin ZhangJianyu YangPublished in: IEEE Trans. Aerosp. Electron. Syst. (2023)
Keyphrases
- reinforcement learning
- optimal policy
- policy search
- action selection
- dynamic programming
- function approximation
- programming language
- markov decision process
- control policy
- state and action spaces
- policy gradient
- state space
- action space
- partially observable environments
- actor critic
- control policies
- function approximators
- machine learning
- markov decision processes
- policy evaluation
- asymptotic optimality
- policy iteration
- infinite horizon
- state dependent
- partially observable
- state action
- markov decision problems
- reward function
- approximate dynamic programming
- continuous state spaces
- reinforcement learning problems
- optimal solution
- programming environment
- computer programming
- object oriented programming
- model free
- search algorithm
- agent receives