From b1676c4cef91050470eaf9bd87db24e6b255dcdc Mon Sep 17 00:00:00 2001
From: Xiaofei Wang <xiaofei@student.unimelb.edu.au>
Date: Wed, 11 Mar 2020 21:00:38 +1100
Subject: [PATCH] =?UTF-8?q?=E4=B8=8A=E4=BC=A0=E6=96=B0=E6=96=87=E4=BB=B6?=
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---
AZUL/rewardBasedPlayer.py | 70 +++++++++++++++++++++++++++++++++++++++
1 file changed, 70 insertions(+)
create mode 100644 AZUL/rewardBasedPlayer.py
diff --git a/AZUL/rewardBasedPlayer.py b/AZUL/rewardBasedPlayer.py
new file mode 100644
index 0000000..b79c841
--- /dev/null
+++ b/AZUL/rewardBasedPlayer.py
@@ -0,0 +1,70 @@
+import random
+
+from model import Player
+from reward import Reward
+from state_monitor import set_state
+
+
+def randomMax(dict):
+ maxValue = dict[max(dict, key=dict.get)]
+ maxGroup = [k for k, v in dict.items() if v == maxValue]
+ return random.choice(maxGroup)
+
+def get_max_difference(value_list, act_id):
+ id_value = value_list[act_id]
+ max_other = max([v for i, v in enumerate(value_list) if i!= act_id])
+ return id_value-max_other
+
+
+
+class RewardBasedPlayer(Player):
+ def __init__(self, _id):
+ super().__init__(_id)
+ self.using_reward = 'Reward'
+
+ def SelectMove(self, moves, game_state):
+ player_order = self.get_player_order(game_state)
+ moves = self.filtering_moves(game_state.players[self.id], moves)
+ return random.choice(moves)
+
+ def filtering_moves(self, player_state, moves):
+ remove_list = []
+ for index, move in enumerate(moves):
+ tile_type = move[2].tile_type
+ pattern_line_dest = move[2].pattern_line_dest
+ if pattern_line_dest > 0 and player_state.lines_tile[pattern_line_dest] == tile_type and \
+ player_state.lines_number[pattern_line_dest] == pattern_line_dest + 1:
+ remove_list.append(index)
+ moves = [moves[i] for i in range(len(moves)) if i not in remove_list]
+ return moves
+
+ def get_player_order(self, game_state):
+ player_order = []
+ for i in range(self.id + 1, len(game_state.players)):
+ player_order.append(i)
+ for i in range(0, self.id + 1):
+ player_order.append(i)
+ return player_order
+
+ def get_place_reward(self, game_state, move, act_id, player_order):
+ reward, score_list = eval(self.using_reward)(game_state, act_id, player_order).estimate(move)
+ return reward, score_list
+
+class ImmediatePlayer(RewardBasedPlayer):
+ def __init__(self, _id):
+ super().__init__(_id)
+ self.using_reward = 'Reward'
+ self.state_cut = False
+
+ def SelectMove(self, moves, game_state):
+
+ if 7<len(moves) < 30 and not self.state_cut:
+ set_state(game_state)
+ self.state_cut = True
+
+ player_order = self.get_player_order(game_state)
+ moves = self.filtering_moves(game_state.players[self.id], moves)
+ move_dict = {}
+ for m in moves:
+ move_dict[m] = self.get_place_reward(game_state, m, self.id, player_order)[0]
+ return randomMax(move_dict)
\ No newline at end of file
--
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