Development of a benchmarking framework for Inverse Reinforcement Learning algorithms based on Tetris

摘要: Tetris is one of the oldest, most popular and well-known video games. The simple rules scoring options make it a viable choice for benchmarking artificial intelligence, especially in machine learning department. This work describes customizable framework using simplified variant original game focused on Inverse Reinforcement Learning algorithms.