Compressing Chess Board States for Reinforcement Learning
Last week, I went over several papers in the area of Biased Inverse Reinforcement Learning and Fairness Criteria. I also brainstormed several possible next steps for research. After talking with CJ on Monday, we decided that the second option was the most promising – extending the ideas behind this paper Read more…