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Implementation of Machine Learning Algorithms
# expand node filter by add __eq__ and __hash__ for class State ``` def expand(node): tried_sub_node_states = [ sub_node.get_state() for sub_node in node.get_children() ] new_state = node.get_state().get_next_state_with_random_choice() # Check until...
Dear Mr/Miss: I have implemented your code, and something wrong happened: TypeError: unhashable type: 'State' Could you please tell me how does this happen and how can I fix it?...
current_node = monte_carlo_tree_search(current_node) 这里不应该将新的leaf_node赋值到root_node
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Implementation of Machine Learning Algorithms