H4rm0ny: A Competitive Zero-Sum Two-Player Markov Game for Multi-Agent Learning on Evasive Malware Generation and Detection.
Christopher MolloySteven H. H. DingBenjamin C. M. FungPhilippe CharlandPublished in: CSR (2022)
Keyphrases
- game theory
- multi agent learning
- game theoretic
- nash equilibrium
- nash equilibria
- agents and multi agent systems
- stochastic games
- repeated games
- imperfect information
- replicator dynamics
- multi agent systems
- perfect information
- cooperative
- optimal strategy
- resource allocation
- malware detection
- regret minimization
- machine learning
- computer games
- multi agent
- incomplete information
- markov chain
- evolutionary game theory
- boolean games
- artificial intelligence