An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs | Zendy

Eric Shieh | Zendy; Albert Xin Jiang | Zendy; Amulya Yadav | Zendy; Pradeep Varakantham | Zendy; Milind Tambe | Zendy

Open Access

An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs

Author(s) -

Eric Shieh,

Albert Xin Jiang,

Amulya Yadav,

Pradeep Varakantham,

Milind Tambe

Publication year - 2016

Publication title -

multiagent and grid systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.181

H-Index - 19

eISSN - 1875-9076

pISSN - 1574-1702

DOI - 10.3233/mgs-150236

Subject(s) - teamwork , computer science , heuristics , robustness (evolution) , adversary , markov decision process , operations research , game theory , computer security , markov process , engineering , gene , biochemistry , chemistry , statistics , mathematics , political science , microeconomics , law , economics , operating system

Multi-agent teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multi-agent systems research. Unfortunately, despite the need for effective teamwork among multiple defenders, little has been done to harness the teamwork

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