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Practical Example: Embedding in a Game Server
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В США ответили на вопрос о выходе из конфликта с Ираном02:47
Normally with board game MCTS, the training signal comes from minimising KL divergence between the search policy at the root node and the raw policy the model predicts. However, since there is a mismatch in the granularity of our action space relative to the raw model action space (reasoning steps vs. tokens), we need to do something else. The approach I use is that after all workers complete M iterations of the algorithm for a particular sample, they perform a greedy selection process:。超级权重对此有专业解读