def get_cards_order(self, trick, played_tricks, suits_order,
contract_value):
# Create observation
played_cards = [
card for trick in played_tricks for card in trick.cards
]
played_cards_observation = convert_cards_to_vector(
played_cards, suits_order)
player_cards_observation = convert_cards_to_vector(
self.cards, suits_order)
trick_cards_observation = convert_cards_to_vector(
trick.cards, suits_order)
trick_observation = np.concatenate(
(played_cards_observation, player_cards_observation,
trick_cards_observation, [contract_value / 9, self.attacker]))
trick_observation = np.expand_dims(trick_observation, axis=0)
with self.sess.as_default():
with self.graph.as_default():
actions = self.sess.run(self.output_tensor,
{self.input_tensor: trick_observation})
action = np.squeeze(actions, axis=0)
player_cards_observation = convert_cards_to_vector(
self.cards, suits_order)
player_action_masked = player_cards_observation * action
# Play cards in probability order
if np.max(player_action_masked) > 0:
cards_index_order = np.argsort(-player_action_masked)
else:
cards_index_order = np.argsort(-player_cards_observation)
return convert_index_to_cards(cards_index_order, suits_order)
def _set_contrat(self, contrat_model):
default_suit_order = list(Suit)
hand0 = convert_cards_to_vector(self.players[0].cards, default_suit_order)
hand1 = convert_cards_to_vector(self.players[1].cards, default_suit_order)
hand2 = convert_cards_to_vector(self.players[2].cards, default_suit_order)
hand3 = convert_cards_to_vector(self.players[3].cards, default_suit_order)
shift_team1, expected_reward_team1 = decision_process(hand0, hand2, contrat_model)
shift_team2, expected_reward_team2 = decision_process(hand1, hand3, contrat_model)
if expected_reward_team1 > expected_reward_team2:
expected_reward_team = expected_reward_team1
attacker_team = 0
shift = shift_team1
else:
expected_reward_team = expected_reward_team2
attacker_team = 1
shift = shift_team2
# Carefull: shifting is anti-clockwise
self.atout_suit = default_suit_order[-shift]
self.suits_order = Suit.create_order(self.atout_suit)
self.value = np.max([0, (expected_reward_team//10) - 8])/9
self.attacker_team = attacker_team
def _get_trick_observation(self):
# self.observation_space = [spaces.Discrete(2)] * (32 + 32 + 32) + [spaces.Discrete(10), spaces.Discrete(2)]
played_cards = [card for trick in self.played_tricks for card in trick.cards]
played_cards_observation = convert_cards_to_vector(played_cards, self.suits_order)
current_player = self.current_trick_rotation[0]
player_cards_observation = convert_cards_to_vector(current_player.cards, self.suits_order)
trick_cards_observation = convert_cards_to_vector(self.trick.cards, self.suits_order)
observation = np.concatenate((played_cards_observation,
player_cards_observation,
trick_cards_observation,
[self.value, current_player.attacker]))
return observation
def reset(self):
"""
reset is mandatory to use gym framework. Reset is called at the end of each round (8 tricks)
:return: observation
"""
# New round
self.round_number += 1
# We rebuild the deck based on previous trick won by each players
self._rebuild_deck(self.played_tricks)
self._deal_cards()
self.played_tricks = []
# Get value of the contract and attacker team and updates suits order
if self.contrat_model is None:
self.atout_suit = random.choice(
list(Suit)) # select randomly the suit
self.value = random.randint(
0, 1) # Can only announce 80 or 90 to begin with
self.attacker_team = random.randint(
0, 1
) # 0 if it is team 0 (player 0 and player 2) else 1 for team 1
self.suits_order = Suit.create_order(self.atout_suit)
else:
self._set_contrat(self.contrat_model)
# Set players attacker
for p in self.players:
p.attacker = int(self.attacker_team == p.index % 2)
self.original_hands = {
"player0-hand":
convert_cards_to_vector(self.players[0].cards, self.suits_order),
"player1-hand":
convert_cards_to_vector(self.players[1].cards, self.suits_order),
"player2-hand":
convert_cards_to_vector(self.players[2].cards, self.suits_order),
"player3-hand":
convert_cards_to_vector(self.players[3].cards, self.suits_order),
"attacker_team": [p.attacker for p in self.players]
}
self.total_score = 0
self.trick = Trick(self.atout_suit, trick_number=1)
self.current_trick_rotation = self._create_trick_rotation(
self.round_number % 4)
# Play until AI
self._play_until_end_of_rotation_or_ai_play()
observation = self._get_trick_observation()
return observation
def _get_round_observation(self):
# self.observation_space = [spaces.Discrete(2)] * (32 + 32 + 32) + [spaces.Discrete(10), spaces.Discrete(2)]
played_cards_observation = np.ones(32)
player_cards_observation = np.zeros(32)
trick_cards_observation = convert_cards_to_vector(self.trick.cards, self.suits_order)
observation = np.concatenate((played_cards_observation,
player_cards_observation,
trick_cards_observation,
[self.value, 1]))
return observation
def get_cards_order(self, _trick, _played_tricks, suits_order,
_contract_value):
if self.next_action is None:
raise RuntimeError("Action should be filled.")
player_cards_observation = convert_cards_to_vector(
self.cards, suits_order)
player_action_masked = player_cards_observation * self.next_action
# Play cards in probability order
if np.max(player_action_masked) > 0:
cards_index = np.argsort(-player_action_masked)
else:
cards_index = np.argsort(-player_cards_observation)
cards_play_order = convert_index_to_cards(cards_index, suits_order)
self.next_action = None
return cards_play_order