# You can set the MCTS tree size like this:
if hasattr(red_bot, 'num_nodes'):
red_bot.num_nodes = 1000
if hasattr(blue_bot, 'num_nodes'):
blue_bot.num_nodes = 1000
rounds = 100
wins = {}
start = time() # To log how much time the simulation takes.
for i in range(rounds):
print("")
print("Round %d, fight!" % i)
game = create_game(4) # Specify the size of the grid in vertices. In this case, 4x4
state = State(game) # Create a state from the instance of the game
while not state.is_terminal():
move = BOTS[state.player_turn].think(state.copy())
state.apply_move(move)
final_score = state.score
winner = state.winner
print("The %s bot wins this round! (%s)" % (winner, str(final_score)))
wins[winner] = wins.get(winner, 0) + 1
print("")
print("Final win counts:", dict(wins))
# Also output the time elapsed.
def restart():
game = create_game(4)
initial_state = State(game)
UNDO_STACK[:] = [initial_state]
display(initial_state)
# You can set the MCTS tree size like this:
if hasattr(red_bot, 'num_nodes'):
red_bot.num_nodes = 1000
if hasattr(blue_bot, 'num_nodes'):
blue_bot.num_nodes = 1000
rounds = 100
wins = {}
start = time() # To log how much time the simulation takes.
for i in range(rounds):
print("")
print("Round %d, fight!" % i)
game = create_game(
4) # Specify the size of the grid in vertices. In this case, 4x4
state = State(game) # Create a state from the instance of the game
while not state.is_terminal():
move = BOTS[state.player_turn].think(state.copy())
state.apply_move(move)
final_score = state.score
winner = state.winner
print("The %s bot wins this round! (%s)" % (winner, str(final_score)))
wins[winner] = wins.get(winner, 0) + 1
print("")
print("Final win counts:", dict(wins))
# Also output the time elapsed.
def restart():
game = create_game(4)
initial_state = State(game)
UNDO_STACK[:] = [initial_state]
display(initial_state)
