Source code for maverick.players.archetypes.gto

from typing import TYPE_CHECKING

from ...player import Player
from ...enums import ActionType
from ...playeraction import PlayerAction
from ...utils import estimate_holding_strength

if TYPE_CHECKING:  # pragma: no cover
    from ...game import Game

__all__ = ["GTOBot"]


[docs] class GTOBot(Player): """A bot with strategy driven by game-theory optimal solutions. Uses hand strength evaluation to implement balanced, theoretically sound play. Makes decisions based on hand equity with consistent bet sizing and balanced ranges. Aims to be unexploitable by mixing actions appropriately. - **Key Traits:** Balanced ranges, mixed strategies, uses hand equity for optimal play. - **Strengths:** Extremely difficult to exploit, mathematically sound. - **Weaknesses:** May underperform in soft, highly exploitative games. - **Common At:** Mid-to-high stakes online. """ cls_uid = "ef7bc5f2eca24a09b25b1daeb0056353"
[docs] def decide_action( self, *, game: "Game", valid_actions: list[ActionType], min_raise_amount: int, call_amount: int, min_bet_amount: int, ) -> PlayerAction: """Play balanced, theoretically sound poker using hand strength evaluation.""" # Evaluate hand strength private_cards = self.state.holding.cards community_cards = game.state.community_cards # Get hand equity if community_cards: hand_equity = estimate_holding_strength( private_cards, community_cards=community_cards, n_private=game.rules.showdown.hole_cards_required, n_simulations=1000, n_players=len(game.state.get_players_in_hand()), ) else: # Pre-flop estimation hand_equity = estimate_holding_strength( private_cards, n_private=game.rules.showdown.hole_cards_required, n_simulations=400, n_players=len(game.state.get_players_in_hand()), ) # GTO thresholds for balanced play strong_hand = hand_equity > 0.65 medium_hand = hand_equity > 0.45 # Standard GTO bet sizing - typically 50-75% pot pot_bet = int(game.state.pot * 0.66) # Bet with balanced sizing when strong if ActionType.BET in valid_actions and strong_hand: bet_amount = min(max(pot_bet, min_bet_amount), self.state.stack) return PlayerAction( player_uid=self.uid, action_type=ActionType.BET, amount=bet_amount ) # Raise with proper sizing when strong if ActionType.RAISE in valid_actions and strong_hand: # GTO raises are typically 2.5-3x the current bet # min_raise_amount is the minimum raise-by increment # Calculate raise-to target (2x current bet), then convert to raise-by increment raise_to_target = game.state.current_bet * 2 raise_by_amount = raise_to_target - self.state.current_bet # Ensure we meet minimum raise requirement raise_by_amount = max(raise_by_amount, min_raise_amount) # Cap at stack raise_by_amount = min(raise_by_amount, self.state.stack) return PlayerAction( player_uid=self.uid, action_type=ActionType.RAISE, amount=raise_by_amount, ) # Call with proper odds and medium+ hands if ActionType.CALL in valid_actions and medium_hand: # GTO calling requires proper pot odds if call_amount <= self.state.stack and call_amount <= game.state.pot: return PlayerAction(player_uid=self.uid, action_type=ActionType.CALL) # Check in balanced way if ActionType.CHECK in valid_actions: return PlayerAction(player_uid=self.uid, action_type=ActionType.CHECK) # Fold when no good option return PlayerAction(player_uid=self.uid, action_type=ActionType.FOLD)