ℜminimax: An Optimally Randomized MINIMAX Algorithm.
IEEE T. Cybernetics(2013)
摘要
This paper proposes a simple extension of the celebrated MINIMAX algorithm used in zero-sum two-player games, called Rminimax. The Rminimax algorithm allows controlling the strength of an artificial rival by randomizing its strategy in an optimal way. In particular, the randomized shortest-path framework is applied for biasing the artificial intelligence (AI) adversary toward worse or better solut...
更多查看译文
关键词
Games,Game theory,Entropy,Artificial intelligence,Equations,Computational modeling,Boltzmann distribution
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络