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Found 4 papers, 1 papers with code
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret
It outperformed all competing methods on 13 datasets with adversarial accuracy metrics, and on all 20 considered datasets with minimax regret.
Evolutionary Approach to Security Games with Signaling
Green Security Games have become a popular way to model scenarios involving the protection of natural resources, such as wildlife.
Anchoring Theory in Sequential Stackelberg Games
An underlying assumption of Stackelberg Games (SGs) is perfect rationality of the players.
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution
This paper presents algorithmic and empirical contributions demonstrating that the convergence characteristics of a co-evolutionary approach to tackle Multi-Objective Games (MOGs) with postponed preference articulation can often be hampered due to the possible emergence of the so-called Red Queen effect.
