import numpy as np INITIAL_MUSHROOMS = ( (1, 1), (1, 5), (1, 8), (2, 3), (2, 7), (3, 1), (3, 5), (3, 9), (4, 2), (4, 6), (5, 0), (5, 4), (5, 8), (6, 2), (6, 7), ) class CentipedeEnvironment: """Four-wave mushroom-field shooter with splitting chains and specialist insects.""" score_cap = 9_528.0 def __init__(self, sticky_action_prob: float = 0.1, horizon: int = 2_000): self.sticky_action_prob = sticky_action_prob self.horizon = horizon self.random = np.random.RandomState() self.seed(0) self.reset() @classmethod def normalize_score(cls, raw_score: float) -> float: return min(max(raw_score, 0.0), cls.score_cap) / cls.score_cap def seed(self, seed: int) -> None: self.random.seed(seed) def reset(self) -> None: self.player = [9, 5] self.previous_player = self.player.copy() self.shot: list[int] | None = None self.mushrooms = {position: {"health": 3, "poisoned": False} for position in INITIAL_MUSHROOMS} self.lives = 3 self.wave = 0 self.steps = 0 self.last_action = 0 self.terminal = False self._start_wave() def _start_wave(self) -> None: head_count = self.wave + 1 main_length = 10 - head_count self.chains = [self._make_chain(main_length, 0, 1)] for index in range(head_count - 1): self.chains.append(self._make_chain(1, index + 1, -1 if index % 2 else 1)) self.spider: list[int] | None = [8, 9] self.flea: dict[str, object] | None = {"position": [0, int(self.random.randint(10))], "health": 2} self.scorpion: list[int] | None = [3, 0] if self.wave >= 3 else None self.previous_insects: list[list[int]] = [] self.wave_steps = 0 @staticmethod def _make_chain(length: int, row: int, direction: int) -> dict[str, object]: start = 0 if direction > 0 else 9 segments = [[row, (start - direction * index) % 10] for index in range(length)] return {"segments": segments, "direction": direction, "diving": False} def act(self, action: int) -> tuple[float, bool]: if self.terminal: return 0.0, True if self.random.rand() < self.sticky_action_prob: action = self.last_action self.last_action = action self.previous_player = self.player.copy() if action in (1, 2, 3, 4): row_delta, column_delta = {1: (0, -1), 2: (-1, 0), 3: (0, 1), 4: (1, 0)}[action] target = [self.player[0] + row_delta, self.player[1] + column_delta] if 7 <= target[0] <= 9 and 0 <= target[1] < 10: self.player = target elif action == 5 and self.shot is None: self.shot = [self.player[0] - 1, self.player[1]] self.previous_insects = self._insect_positions() self._move_centipedes() self._move_specials() if self.shot is not None: self.shot[0] -= 1 if self.shot[0] < 0: self.shot = None reward = self._resolve_shot() reward += self._resolve_contacts() self.wave_steps += 1 self.steps += 1 if not self.chains: self.wave += 1 if self.wave == 4: self.terminal = True else: self._start_wave() if self.steps >= self.horizon: self.terminal = True return reward, self.terminal def _move_centipedes(self) -> None: for chain in self.chains: segments = chain["segments"] previous = [segment.copy() for segment in segments] head = segments[0] if bool(chain["diving"]): head[0] = min(9, head[0] + 1) if head[0] >= 8: chain["diving"] = False chain["direction"] = -int(chain["direction"]) else: target_column = head[1] + int(chain["direction"]) target = (head[0], target_column) if target_column < 0 or target_column > 9 or target in self.mushrooms: mushroom = self.mushrooms.get(target) if mushroom is not None and bool(mushroom["poisoned"]): chain["diving"] = True head[0] = min(9, head[0] + 1) chain["direction"] = -int(chain["direction"]) else: head[1] = target_column for index in range(1, len(segments)): segments[index][:] = previous[index - 1] def _move_specials(self) -> None: if self.spider is not None: self.spider[1] += -1 if self.wave_steps % 4 < 2 else 1 self.spider[0] = int(np.clip(self.spider[0] + (-1 if self.wave_steps % 3 == 0 else 1), 7, 9)) if self.spider[1] < 0 or self.spider[1] > 9: self.spider[1] %= 10 if self.flea is not None: position = self.flea["position"] position[0] += 2 if int(self.flea["health"]) == 1 else 1 if position[0] in (2, 4, 6) and tuple(position) not in self.mushrooms: self.mushrooms[tuple(position)] = {"health": 3, "poisoned": False} if position[0] > 9: self.flea = None if self.scorpion is not None: self.scorpion[1] += 1 position = tuple(self.scorpion) if position in self.mushrooms: self.mushrooms[position]["poisoned"] = True if self.scorpion[1] > 9: self.scorpion = None def _resolve_shot(self) -> float: if self.shot is None: return 0.0 for chain in self.chains.copy(): segments = chain["segments"] hit_index = next((index for index, segment in enumerate(segments) if segment == self.shot), None) if hit_index is None: continue position = tuple(segments[hit_index]) reward = 100.0 if hit_index == 0 else 10.0 before = segments[:hit_index] after = segments[hit_index + 1:] self.chains.remove(chain) if before: self.chains.append({"segments": before, "direction": chain["direction"], "diving": chain["diving"]}) if after: self.chains.append({"segments": after, "direction": -int(chain["direction"]), "diving": False}) self.mushrooms.setdefault(position, {"health": 3, "poisoned": False}) self.shot = None return reward if self.spider == self.shot: distance = abs(self.spider[0] - self.player[0]) + abs(self.spider[1] - self.player[1]) self.spider = None self.shot = None return 900.0 if distance <= 2 else 600.0 if distance <= 4 else 300.0 if self.flea is not None and self.flea["position"] == self.shot: self.flea["health"] = int(self.flea["health"]) - 1 self.shot = None if int(self.flea["health"]) == 0: self.flea = None return 200.0 return 0.0 if self.scorpion == self.shot: self.scorpion = None self.shot = None for mushroom in self.mushrooms.values(): mushroom["poisoned"] = False return 1_000.0 shot_position = tuple(self.shot) mushroom = self.mushrooms.get(shot_position) if mushroom is not None: mushroom["health"] = int(mushroom["health"]) - 1 self.shot = None if int(mushroom["health"]) == 0: del self.mushrooms[shot_position] return 1.0 return 0.0 def _resolve_contacts(self) -> float: hazards = self._insect_positions() if self.player not in hazards: return 0.0 bonus = float((len(self.mushrooms) // 2) * 5) self.lives -= 1 self.player = [9, 5] self.previous_player = self.player.copy() self.shot = None for mushroom in self.mushrooms.values(): mushroom["poisoned"] = False mushroom["health"] = 3 if self.lives <= 0: self.terminal = True return bonus def _insect_positions(self) -> list[list[int]]: positions = [segment.copy() for chain in self.chains for segment in chain["segments"]] if self.spider is not None: positions.append(self.spider.copy()) if self.flea is not None: positions.append(list(self.flea["position"])) if self.scorpion is not None: positions.append(self.scorpion.copy()) return positions def state(self) -> np.ndarray: state = np.zeros((10, 10, 6), dtype=bool) state[*self.player, 0] = True for chain in self.chains: for index, segment in enumerate(chain["segments"]): state[*segment, 1] = True state[*segment, 2] = True if index == 0: state[segment[0], segment[1], 5] = True for position in (self.spider, None if self.flea is None else self.flea["position"], self.scorpion): if position is not None: state[*position, 1] = True state[*position, 2] = True for position, mushroom in self.mushrooms.items(): state[*position, 2] = True state[*position, 5] = True if bool(mushroom["poisoned"]): state[*position, 1] = True if self.shot is not None: state[*self.shot, 3] = True state[*self.previous_player, 4] = True for position in self.previous_insects: if 0 <= position[0] < 10 and 0 <= position[1] < 10: state[*position, 4] = True state[9, : self.lives, 5] = True state[8, : self.wave + 1, 5] = True return state