An Intelligent Deployment Policy for Deception Resources Based on Reinforcement Learning.
Shuo WangQingqi PeiJianhua WangGuangming TangYuchen ZhangXiaohu LiuPublished in: IEEE Access (2020)
Keyphrases
- reinforcement learning
- optimal policy
- policy search
- markov decision process
- action selection
- policy gradient
- partially observable environments
- function approximation
- reinforcement learning problems
- limited resources
- markov decision processes
- learning algorithm
- approximate dynamic programming
- state and action spaces
- markov decision problems
- control policies
- reinforcement learning algorithms
- control policy
- policy iteration
- state space
- resource management
- model free
- reinforcement learning methods
- actor critic
- dynamic programming
- agent learns
- policy evaluation
- metadata
- action space
- resource allocation
- partially observable
- temporal difference
- transfer learning
- resource constraints
- learning resources
- partially observable domains
- machine learning
- deception detection
- policy making
- learning agents
- state action
- state dependent
- policy makers
- control problems
- finite state
- information resources
- supervised learning