Class of 2025Beijing, Beijing
- "Game-Playing with Deep Reinforcement Learning" with mentor Garrett (Working project)
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.