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1. 1. Improving Generalization in Reinforcement Learningusing Skill-based Rewards

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Francesco Vito Lorenzo; [2020]
   Nyckelord :;

   Sammanfattning : Reinforcement Learning is a promising approach to develop intelligent agents that can help game developers in testing new content. However, applying it to a game with stochastic transitions like Candy Crush Friends Saga (CCFS) presents some challenges. LÄS MER