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Found 4 papers, 2 papers with code
Controllable Exploration of a Design Space via Interactive Quality Diversity
To address these concerns, we implement a variation of the MAP-Elites algorithm where the presented alternatives are sampled from a small region (window) of the behavioral space.
Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem
A core challenge of evolutionary search is the need to balance between exploration of the search space and exploitation of highly fit regions.
Playing Against the Board: Rolling Horizon Evolutionary Algorithms Against Pandemic
This paper contends that collaborative board games pose a different challenge to artificial intelligence as it must balance short-term risk mitigation with long-term winning strategies.
Collaborative Agent Gameplay in the Pandemic Board Game
While artificial intelligence has been applied to control players' decisions in board games for over half a century, little attention is given to games with no player competition.
