Fritz chess training series windows#
We believe that Dragon will play in a more human-like style than standard Komodo since it relies on learning what actually works in games rather than just on pre-assigned values for eval terms.Īlthough Dragon 2 is only slightly stronger than the initial dragon version in standard mode, the MCTS mode when running under Windows is dramatically improved, about a hundred elo. Dragon also won the 2021 TCEC Swiss championship (normal chess). Our testing also shows that Dragon is especially strong in Fischerandom (960) chess, which was confirmed when Dragon won the TCEC FRC 2021 championship. The improvement is due to the embedded neural network providing much more accurate evaluation and also in some sense gaining an extra ply or so of search by “seeing” some tactics that a normal eval won’t spot. With four threads, the gains were 198 elo in MCTS and 184 elo in standard mode. The reinforcement learning phase for Dragon is in its infancy, but is already showing great promise.ĭragon 2 is a huge strength improvement over Komodo 14.1, the last pre-dragon release, about 210 elo in standard mode, at CCRL blitz time control on one thread based on 10,000 game direct matches. Training an NNUE network based on this evaluation was both an advantage and a challenge, requiring experimentation with architectures and data generation of billions of positions.
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Komodo has a great deal of chess knowledge in its evaluation.
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Dragon uses NNUE (Neural Network Updated Efficiently) technology, originally developed for the game of shogi.