AlphaGo Zero is the program described in this paper. It learns from self-play reinforcement learning, starting from random initial weights, without using ...

Using this search al- gorithm, our program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the European Go champion by 5 games to ...

Here we introduce a new approach to computer Go that uses 'value networks' to evaluate board positions and 'policy networks' to select moves.

Oct 19, 2017 ¡¤ We evaluated the fully trained AlphaGo Zero using an internal tournament against AlphaGo Fan, AlphaGo Lee and several previous. Go programs. We ...

Using this search algorithm, our program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games ...

In October 2017, DeepMind released a paper on AlphaGo Zero, which did just that. It removed the supervised learning part, their algorithm was ¡°based solely ...

In this paper we shed light on the. AlphaGo program that could beat a Go world champion, which was previously considered non-achievable for the state of the art ...

An artificial-intelligence program called AlphaGo Zero has mastered the game of Go without any human data or guidance.

Oct 19, 2017 ¡¤ Here we introduce an algorithm based solely on reinforcement learning, without human data, guidance or domain knowledge beyond game rules.

Mar 6, 2016 ¡¤ You can gleam a great overview from this, slightly earlier paper http://www.cs.toronto.edu/~cmaddis/pubs/deepgo.pdf. Upvote 1. Downvote Reply ...