Adversarial Decision-Making for Moving Target Defense: A Multi-Agent Markov Game and Reinforcement Learning Approach.
Qian YaoYongjie WangXinli XiongPeng WangYang LiPublished in: Entropy (2023)
Keyphrases
- multi agent
- reinforcement learning
- moving target defense
- decision making
- multi agent decision making
- american football
- multi agent simulation
- action selection
- multi agent systems
- cooperative
- extensive form games
- stochastic games
- function approximation
- multiagent reinforcement learning
- decision makers
- reinforcement learning agents
- game theory
- multi agent environments
- video games
- markov chain
- negotiation mechanism
- multi agent reinforcement learning
- decision support system
- single agent
- multiagent systems
- temporal difference
- state space
- game playing
- coalition formation
- markov games
- team formation
- learning agents
- data mining
- learning algorithm
- computer games
- nash equilibrium
- game play
- decision process
- machine learning
- prospect theory
- decision support
- influence diagrams
- multiple agents
- reinforcement learning algorithms
- game design
- rational agents
- game theoretic
- temporal difference learning
- educational games
- model free
- markov decision processes
- minimax search
- optimal policy
- information processing
- autonomous agents
- conditional independence
- leader follower
- monte carlo
- markov model
- reinforcement learning methods
- serious games
- nash equilibria