algorithms/mcts_basic.py
def do_rollout(self):
        "Make the tree one layer better. (Train for one iteration.)"
        path = self._select(self.root_node)
        leaf = path[-1]
        self._expand(leaf)
        reward = self._simulate(leaf)
        self._backpropagate(path, reward)
Make the tree one layer better. (Train for one iteration.)
Make the tree one layer better. (Train for one iteration.)
Make the tree one layer better . ( Train for one iteration . )
def do_rollout(self):
        path = self._select(self.root_node)
        leaf = path[-1]
        self._expand(leaf)
        reward = self._simulate(leaf)
        self._backpropagate(path, reward)
def do_rollout ( self ) : path = self . _select ( self . root_node ) leaf = path [ - 1 ] self . _expand ( leaf ) reward = self . _simulate ( leaf ) self . _backpropagate ( path , reward )
Make the tree one layer better.
Make the tree one layer better .
"Make the tree one layer better. (Train for one iteration.)"
self