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