Changed training to update values-file during training
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+12
-17
@@ -12,19 +12,9 @@ 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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state = create_empty_state()
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players = player_provider.choose(state)
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move = 1
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@@ -82,16 +72,21 @@ p_hx = HumanPlayer(mark='X', name="Jens")
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p_mx = MachinePlayer(mark='X', params=MachinePlayer.Params(p_explore=0.1, alpha=0.1), values=x_values)
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p_mo = MachinePlayer(mark='O', params=MachinePlayer.Params(p_explore=0.1, alpha=0.1), values=o_values)
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K = 50
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N = 1000
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if do_training:
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play(PlayerProvider(p_mx, p_mo), 5000, False)
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for k in range(0, K):
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play(PlayerProvider(p_mx, p_mo), N, False)
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# Values after training
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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(p_mx.values, fp, indent=0)
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# Values after training
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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(p_mx.values, fp, indent=0)
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with open("values_o.json", "w") as fp:
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json.dump(p_mo.values, fp, indent=0)
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with open("values_o.json", "w") as fp:
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json.dump(p_mo.values, fp, indent=0)
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print(f"Iteration: {k*N:8d}")
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if do_human_player:
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pp = PlayerProvider(p_hx, p_mo)
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