RandomPlayer, HeuristicPlayer (MC tipper nad rozdaniami neznamych kariet + tipom riadena hracia heuristika) a McPlayer (MC ohodnotenie kazdeho kandidatskeho tahu nad rozdaniami konzistentnymi s dedukovanymi voidmi). Evaluacia s rotaciou sedadiel: py -m rl.evaluate. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
265 lines
10 KiB
Python
265 lines
10 KiB
Python
"""Baseline hraci pre evaluaciu a neskorsi warm-start siete (viz rl/DESIGN.md).
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Spolocne rozhranie: `guess(rnd, seat) -> int` (tip 0..8) a
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`play(rnd, seat) -> int` (index karty 0..31). Hrac vidi len to, co by videl
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pri stole -- vlastnu ruku, tipy, dokoncene kopky a rozohranu kopku; do cudzich
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ruk nesiaha.
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"""
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from collections import Counter
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from random import Random
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from bridzik import cards, Card_colors, Stash
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from rl.encoding import (
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N_GUESS_ACTIONS, N_PLAY_ACTIONS,
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card_index, deduce_voids, guess_mask, legal_cards, play_mask,
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)
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class RandomPlayer:
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"""Uniformne nahodny legalny tah -- najslabsi mozny baseline."""
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def __init__(self, rng: Random = None):
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self.rng = rng if rng is not None else Random()
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def guess(self, rnd, seat: int) -> int:
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mask = guess_mask(rnd)
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return self.rng.choice([g for g in range(N_GUESS_ACTIONS) if mask[g]])
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def play(self, rnd, seat: int) -> int:
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mask = play_mask(rnd, seat)
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return self.rng.choice([i for i in range(N_PLAY_ACTIONS) if mask[i]])
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def _strength(card) -> tuple:
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"""Absolutna sila karty: kazda cervena (tromf) bije kazdu necervenu."""
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return (card.color == Card_colors['HEARTS'], card.value.value)
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def _current_best(stash):
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"""Zatial vitazna karta rozohranej kopky (None ak sa este nevynieslo)."""
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first = stash.get_first_card() if stash is not None else None
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if first is None:
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return None
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best = first
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for card in stash.get_cards().values():
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if _beats(card, best):
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best = card
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return best
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def _beats(card, best) -> bool:
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"""Ci `card` prebije `best` (karta drziaca kopku; jej farba je smerodajna)."""
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if card.color == best.color:
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return card.value > best.value
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return card.color == Card_colors['HEARTS']
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def simulate_tricks(hands: dict, leader: int, rng: Random) -> list:
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"""Dohra kopky s nahodnou legalnou strategiou; vrati pocty vyhier hracov.
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`hands` je dict seat -> zoznam kariet (rovnako velke ruky); zoznamy sa
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spotrebuju. Vitaza kopky urcuje enginovy Stash.get_winner() -- pravidla
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sa tu neduplikuju.
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"""
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tricks = [0] * 4
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for _ in range(len(hands[leader])):
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stash = Stash(leader)
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for i in range(4):
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seat = (leader + i) % 4
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card = rng.choice(legal_cards(hands[seat], stash.get_first_card()))
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hands[seat].remove(card)
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stash.add_card(seat, card)
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leader = stash.get_winner()
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tricks[leader] += 1
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return tricks
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def deal_consistent(unknown: list, hand_sizes: dict, voids: dict,
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rng: Random, max_tries: int = 20) -> dict:
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"""Nahodne rozdanie neznamych kariet superom respektujuce voidy.
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Greedy priradenie po zamiesani (najviac obmedzeni hraci prvi); ak sa
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konzistentne rozdanie nepodari za `max_tries`, padne na rozdanie bez
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voidov (zriedkave, radsej mierne skreslena vzorka nez ziadna).
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Zvysok kariet ostava v odlozenej kope mimo hry.
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"""
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seats = sorted(hand_sizes, key=lambda s: len(voids.get(s, ())), reverse=True)
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pool = list(unknown)
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for _ in range(max_tries):
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rng.shuffle(pool)
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remaining = list(pool)
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hands = {}
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for seat in seats:
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hand, rest, banned = [], [], voids.get(seat, set())
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for card in remaining:
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if len(hand) < hand_sizes[seat] and card.color not in banned:
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hand.append(card)
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else:
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rest.append(card)
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if len(hand) < hand_sizes[seat]:
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break
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hands[seat] = hand
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remaining = rest
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else:
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return hands
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rng.shuffle(pool)
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idx = 0
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hands = {}
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for seat in seats:
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hands[seat] = pool[idx:idx + hand_sizes[seat]]
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idx += hand_sizes[seat]
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return hands
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def mc_guess_distribution(rnd, seat: int, n_samples: int, rng: Random) -> Counter:
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"""Monte Carlo odhad rozdelenia poctu vlastnych kopiek v kole.
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Nezname karty sa v kazdej vzorke nahodne rozdelia ostatnym trom hracom
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-- kazdemu len (8 - round_number) kariet, zvysok ostava v odlozenej kope
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mimo hry (pozri DESIGN.md, pasca "discard pile"). Leader prvej kopky je
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v case tipovania neznamy (najvyssi tip), sampluje sa uniformne.
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"""
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hand = rnd.player_cards[seat]
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hand_size = 8 - rnd.round_number
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unknown = [c for c in cards if c not in hand]
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counts = Counter()
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for _ in range(n_samples):
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rng.shuffle(unknown)
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sim_hands = {seat: list(hand)}
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others = [s for s in range(4) if s != seat]
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for i, other in enumerate(others):
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sim_hands[other] = unknown[i * hand_size:(i + 1) * hand_size]
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tricks = simulate_tricks(sim_hands, rng.randrange(4), rng)
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counts[tricks[seat]] += 1
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return counts
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def finish_round(hands: dict, current_cards: dict, first_player: int,
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me: int, my_card, tricks: list, rng: Random) -> list:
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"""Dohra kolo od mojho tahu: dokonci rozohranu kopku (ja hram `my_card`,
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dalsi nahodne legalne) a zvysne kopky dohra nahodnou legalnou strategiou.
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`tricks` su uz vyhrane kopky (mutuje sa kopia volajuceho); vrati final."""
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stash = Stash(first_player)
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for seat, card in current_cards.items():
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stash.add_card(seat, card)
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stash.add_card(me, my_card)
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while not stash.is_completed():
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seat = stash.get_active_player()
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card = rng.choice(legal_cards(hands[seat], stash.get_first_card()))
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hands[seat].remove(card)
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stash.add_card(seat, card)
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leader = stash.get_winner()
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tricks[leader] += 1
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while hands[leader]:
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stash = Stash(leader)
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for i in range(4):
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seat = (leader + i) % 4
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card = rng.choice(legal_cards(hands[seat], stash.get_first_card()))
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hands[seat].remove(card)
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stash.add_card(seat, card)
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leader = stash.get_winner()
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tricks[leader] += 1
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return tricks
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class HeuristicPlayer:
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"""MC tipper + jednoducha hracia heuristika riadena vlastnym tipom."""
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def __init__(self, rng: Random = None, n_samples: int = 100):
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self.rng = rng if rng is not None else Random()
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self.n_samples = n_samples
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def guess(self, rnd, seat: int) -> int:
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counts = mc_guess_distribution(rnd, seat, self.n_samples, self.rng)
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mask = guess_mask(rnd)
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# najcastejsi LEGALNY pocet kopiek (mod rozdelenia, nie priemer --
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# boduje sa len presna zhoda); pri nule vzoriek pre legalny tip
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# rozhodne blizkost k celkovemu modu
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mode = counts.most_common(1)[0][0]
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legal = [g for g in range(N_GUESS_ACTIONS) if mask[g]]
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return max(legal, key=lambda g: (counts[g], -abs(g - mode)))
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def play(self, rnd, seat: int) -> int:
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hand = rnd.player_cards[seat]
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stash = rnd.get_last_stash()
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allowed = legal_cards(hand, stash.get_first_card() if stash else None)
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need = rnd.guesses[seat] - rnd.get_stashes_winner_summary()[seat]
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best = _current_best(stash)
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if best is None:
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# vynasam: chcem kopku -> najsilnejsia karta; nechcem -> najslabsia
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chosen = max(allowed, key=_strength) if need > 0 else min(allowed, key=_strength)
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else:
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winning = [c for c in allowed if _beats(c, best)]
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if need > 0 and winning:
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# ber kopku co najlacnejsie
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chosen = min(winning, key=_strength)
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elif need <= 0 and len(winning) < len(allowed):
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# kopku nechcem: zbav sa najsilnejsej neberucej karty
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chosen = max((c for c in allowed if not _beats(c, best)), key=_strength)
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elif need <= 0:
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# vsetko berie -> ber co najlacnejsie (setri silne karty netreba,
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# ale nizka karta drzi sancu, ze ma este niekto prebije)
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chosen = min(allowed, key=_strength)
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else:
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# kopku chcem, ale nic neberie -> odhod najslabsiu
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chosen = min(allowed, key=_strength)
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return card_index(chosen)
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class McPlayer(HeuristicPlayer):
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"""Heuristika s MC hracou fazou: kazdy kandidatsky tah sa ohodnoti
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simulaciami zvysku kola nad rozdaniami neznamych kariet konzistentnymi
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s dedukovanymi voidmi (`use_voids=False` = ablacia bez dedukcie).
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Tipovanie ostava MC tipper z HeuristicPlayer (pred prvou kartou niet
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z coho voidy dedukovat)."""
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def __init__(self, rng: Random = None, n_samples: int = 100,
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play_samples: int = 24, use_voids: bool = True):
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super().__init__(rng, n_samples)
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self.play_samples = play_samples
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self.use_voids = use_voids
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def play(self, rnd, seat: int) -> int:
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hand = rnd.player_cards[seat]
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stash = rnd.get_last_stash()
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first_card = stash.get_first_card() if stash else None
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candidates = legal_cards(hand, first_card)
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if len(candidates) == 1:
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return card_index(candidates[0])
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target = rnd.guesses[seat]
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base_tricks = rnd.get_stashes_winner_summary()
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voids = deduce_voids(rnd) if self.use_voids else {}
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seen = set()
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played_count = Counter()
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for st in rnd.stashes:
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for other, card in st.get_cards().items():
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seen.add(card)
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played_count[other] += 1
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unknown = [c for c in cards if c not in seen and c not in hand]
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hand_size0 = 8 - rnd.round_number
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hand_sizes = {s: hand_size0 - played_count[s] for s in range(4) if s != seat}
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current_cards = stash.get_cards()
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# spolocne rozdanie pre vsetkych kandidatov (common random numbers --
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# porovnavame tahy na tych istych svetoch, mensia variancia)
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scores = {card_index(c): 0 for c in candidates}
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for _ in range(self.play_samples):
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world = deal_consistent(unknown, hand_sizes, voids, self.rng)
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for candidate in candidates:
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sim_hands = {s: list(h) for s, h in world.items()}
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sim_hands[seat] = [c for c in hand if c != candidate]
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tricks = finish_round(sim_hands, dict(current_cards),
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stash.first_player, seat, candidate,
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list(base_tricks), self.rng)
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if tricks[seat] == target:
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scores[card_index(candidate)] += 1
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best_index = max(scores, key=scores.get)
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if scores[best_index] == 0:
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# tip uz je (takmer) nedosiahnutelny -> aspon rozumny pravidlovy tah
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return super().play(rnd, seat)
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return best_index
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