import numpy as np from helper import create_empty_state, to_state_string from machine_player import MachinePlayer from human_player import HumanPlayer from player_provider import PlayerProvider import json float_formatter = "{:.3f}".format np.set_printoptions(formatter={'float_kind': float_formatter}) REPORT_INTERVAL = 1000 report_counter = REPORT_INTERVAL def report(k): global report_counter if report_counter > 0: report_counter -= 1 else: report_counter = REPORT_INTERVAL-1 print(f"Iteration: {k:8d}") def play(player_provider: PlayerProvider, k_max=10000, with_debug=False): player_provider.set_debug(with_debug) for k in range(0, k_max): report(k) players = player_provider.choose() state = create_empty_state() move = 1 run = True other_player = players[-1] while run: for player in players: if with_debug: print(f"---------------------------------------------------") print(f"- Game {k:06d}, Move {move} -----------------------------") print(f"---------------------------------------------------") last_state = state state, has_moved = player.move(state) if with_debug: print(to_state_string(last_state, state)) if not has_moved: if with_debug: print(f"{player.mark}: No more moves") player.reward(0.0) other_player.reward(0.0) run = False if player.has_won(state): if with_debug: print(f"{player.mark}: Has won the game") player.reward(1.0) other_player.reward(0.0) run = False other_player = player if not run: break move += 1 with open("values_x.json", "r") as fp: x_values = json.load(fp) with open("values_o.json", "r") as fp: o_values = json.load(fp) #px = MachinePlayer(mark='X', params=MachinePlayer.Params(p_exp=0.2, alpha=0.1), values=x_values) px = HumanPlayer(mark='X', name="Jens") po = MachinePlayer(mark='O', params=MachinePlayer.Params(p_exp=0.2, alpha=0.1), values=o_values) player_provider = PlayerProvider(px, po) do_training = 1 if do_training: play(player_provider, 10000, True) play(player_provider, 10, True) # Convert and write JSON object to file with open("values_x.json", "w") as fp: json.dump(x_values, fp, indent=0) with open("values_o.json", "w") as fp: json.dump(o_values, fp, indent=0)