![]() The reinforcement learning phase for Dragon is in its infancy, but is already showing great promise.ĭragon 2.5 is a huge strength improvement over Dragon 2, roughly 60 elo on four threads and 70 elo on one, even more in MCTS mode and for playing Fischerandom (chess960). With architectures and data generation of billions of positions. Training an NNUE network based on this evaluation was both an advantage and a challenge, requiring experimentation Komodo has a great deal of chess knowledge in its evaluation. Dragon uses NNUE (Neural Network Updated Efficiently) technology, originally developed for the game of shogi.
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