AlphaGo

High school (ages 12+)
Science & Technology

Name:

Date:

Step 1 · Read the article

Open the article and read it at the level above. Then answer the questions below in your own words.

https://smallwhale.org/articles/alphago

Write what each word means, using the article.

Do not copy the article. Write two things you learned, the way you would explain them to a friend.

Answers below are taken from the article’s stored facts, so they match what the student read.

1. What is AlphaGo?AlphaGo is a computer program made by DeepMind that can play the board game Go better than the best human players.
2. How does AlphaGo decide which move to play?It uses two neural networks: a policy network that guesses good moves and a value network that tells how good a board position is. It also uses a Monte Carlo Tree Search to look ahead at many possible moves.

Deep Learning: A subset of machine learning that uses artificial neural networks with multiple layers to learn complex patterns from data.
Reinforcement Learning: A type of machine learning where an agent learns to make decisions by trial and error, receiving rewards or penalties for its actions.
Monte Carlo Tree Search (MCTS): A heuristic search algorithm used in artificial intelligence for decision-making, particularly in games, that balances exploration and exploitation.
Artificial Neural Network (ANN): A computational model inspired by the structure and function of biological neural networks, used for pattern recognition and learning.