Hacker News new | past | comments | ask | show | jobs | submit login

This seems like a less sophisticated variant* of the AlphaGo approach. In both cases, Monte Carlo Tree Search (MCTS) is constrained by model for likely future moves. Here, they use a genetic algorithm. In AlphaGo, this is called the "policy network".

* This is not to say that these authors copied AlphaGo -- my uninformed guess is that this general approach of constraining MCTS has been known for a very long time.




If I understood correctly, they are not using any MCTS, I believe they are not doing any look ahead, only greedily selecting the best turn.


Correct - we are not using MCTS and the approach has nothing to do with AlphaGo.




Join us for AI Startup School this June 16-17 in San Francisco!

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: