What is the significance of move 37? (to a non go player)
Feb 26, 2023 · 1 I have seen (and googled) information for Game 2, Move 37 in the AlphaGo vs. Lee Sedol match However it is difficult to find information concerning this move that doesn't rely on an …
Did Alphago zero actually beat Alphago 100 games to 0?
Oct 21, 2020 · 2 tl;dr Did AlphaGo and AlphaGo play 100 repetitions of the same sequence of boards, or were there 100 different games? Background: Alphago was the first superhuman go player, but it …
Newest 'alphago' Questions - Artificial Intelligence Stack Exchange
For questions related to DeepMind's AlphaGo, which is the first computer Go program to beat a human professional Go player without handicaps on a full-sized 19x19 board. AlphaGo was introduced in …
deep learning - What is the input to AlphaGo's neural network ...
Jun 8, 2020 · AlphaGo Zero only uses the black and white stones from the Go board as its input, whereas previous versions of AlphaGo included a small number of hand-engineered features. What …
terminology - AlphaGo Zero MCTS a misnomer? - Artificial Intelligence ...
Dec 19, 2024 · AlphaGo Zero utilizes an algorithm it calls "Monte Carlo Tree Search" in the papers, but it seems like the algorithm is fully deterministic since it doesn't utilize random playouts in the leaves of …
How does Alpha Go Zero MCTS work in parallel?
Sep 25, 2023 · To understand how AlphaGo Zero performs parallel simulations think of each simulation as a separate agent that interacts with the search tree. Each agent starts from the root node and …
Difference between AlphaGo's policy network and value network
Mar 29, 2016 · If anyone else stumbles upon this old question, like me, you'll be pleased to know that AlphaGo's successor, "AlphaGo Zero", as well as its successor "AlphaZero" do indeed get rid of the …
Why AlphaGo didn't use Deep Q-Learning?
Apr 29, 2020 · In the previous research, in 2015, Deep Q-Learning shows its great performance on single player Atari Games. But why do AlphaGo's researchers use CNN + MCTS instead of Deep Q …
Initialising DQN with weights from imitation learning rather than ...
Nov 14, 2020 · In AlphaGo, the authors initialised a policy gradient network with weights trained from imitation learning. I believe this gives it a very good starting policy for the policy gradient network. the …
Why is Monte Carlo used as the tree search algorithm for AlphaGo?
Apr 9, 2019 · The paper that introduced AlphaGo, Mastering the game of Go with deep neural networks and tree search, motivates the use of MCTS Monte Carlo tree search (MCTS) uses Monte Carlo …