论文总结:Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm reinforcement learning algorithm,usingageneral purposeMonte-Carlotreesearch(MCTS) algorithm.... high-performance alpha-
控制Monte Carlo Tree Search的一组函数 函数selection负责使用UCB算法选择最优结点 函数expansion负责随机选择一个子结点去扩展 函数stimulation负责模拟棋局的胜负 函数backdate负责回溯更新整个搜索树 函数intervene负责回溯更新整个搜索树人为干预搜索结果,如有下一步必输的局面优先执行 函数mcts负责搜索过程的全过程,搜索...
Monte Carlo tree search, with a median TM-score of 0.51. There are 30 highly accurate complexes (TM-score ≥0.8, 33% of complete assemblies). We create a scoring function, mpDockQ, that can distinguish if assemblies are complete and predict their accuracy. We find that complexes containing...
Monte Carlo Tree Search (MCTS) is a decision-making algorithm that consists in searching combinatorial spaces represented by trees. In such trees, nodes denote states, also referred to as configurations of the problem, whereas edges denote transitions (actions) from one state to another. MCTS has...
Monte Carlo tree search (MCTS) [13], also known as random sampling or statistical test methods, belongs to a branch of computational mathematics. This paper combines RL and MCTS to improve Gobang AI training efficiency. We design a self-playing strategy to find the first-move balance point of...
MCTS:MCTSdefines the structure of the Monte Carlo search tree and the way it interacts with the Policy. The implementation of MCTS includes two languages: Python and C++, implemented inptreeandctree, respectively. For the file structure of LightZero, please refer tolightzero_file_structure. ...
MCTS: MCTS defines the structure of the Monte Carlo search tree and the way it interacts with the Policy. The implementation of MCTS includes two languages: Python and C++, implemented in ptree and ctree, respectively. For the file structure of LightZero, please refer to lightzero_file_struct...