Cyberspace attack and defense game based on reward randomization reinforcement learning.
Lei ZhangHongmei LiYu PanQibin ZhengWei LiYi LiuPublished in: Array (2022)
Keyphrases
- reinforcement learning
- defense mechanisms
- ddos attacks
- learning process
- function approximation
- eligibility traces
- countermeasures
- privacy preserving
- state space
- reinforcement learning algorithms
- optimal policy
- model free
- reward function
- intrusion detection
- learning algorithm
- machine learning
- markov decision processes
- mobile learning
- dynamic programming
- multi agent
- partially observable environments
- digital educational games
- temporal difference
- network security
- learning systems
- average reward
- reinforcement learning methods
- reward shaping
- data mining
- secret key
- partially observable
- policy iteration
- function approximators
- action selection
- policy gradient
- inverse reinforcement learning
- learning tools
- agent receives