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Polygence Scholar2024
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Peilin Song

Class of 2025Beijing, Beijing



  • "Game-Playing with Deep Reinforcement Learning" with mentor Garrett (Working project)

Peilin's Symposium Presentation

Project Portfolio

Game-Playing with Deep Reinforcement Learning

Started June 29, 2023

Abstract or project description

Games are a common testbed for algorithm development in reinforcement learning. In this work, we aim to develop an agent for playing Flappy Bird and/or Tetris (TBD), two popular games. Once we have a basic agent working, the remainder of the time will be used to explore various algorithmic tradeoffs.