Games That Adapt: Reinforcement Learning for Adaptive Game AI
Ankit Kumar, Kushagra Srivastava, Ajay Pal Singh · 2024
The main aim of this research paper is to showcase, scrutinize, and summarize a selection of books and articles on the subject of Reinforcement Learning. Reinforcement Learning is an increasingly valuable methodology employed in the development of artificial intelligence systems, addressing intricate challenges related to sequential decision - making. In recent years, reinforcement learning has achieved significant milestones, surpassing human capabilities in numerous domains and demonstrating prowess in winning a diverse array of games. The impetus behind unraveling the question - “How can we acquire a new skill?" is self - evident: by deciphering it, we may empower humanity to undertake previously unattainable tasks or, alternatively, instruct machines to do so, thereby realizing genuine artificial intelligence.