Review of Reinforcement Learning and Evolutionary Computation Methods for Strategy Exploration
Reinforcement learning and evolutionary computation,as two types of nature-inspired learning paradigms,are the main-stream methods for solving strategy exploration problems,and the fusion of these two types of methods provides a general solu-tion for solving strategy exploration problems.This paper analyzes the basic methods of reinforcement learning and evolutionary computation,the basic methods of strategy exploration,the fused methods of strategy exploration,and the frontier challenges in four aspects,and it is expected to bring inspiration to the cross-fertilization research in this field.
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